php中文转拼音2
<?php
/**
* strtopinyin.php
*
* @name 汉字字符转拼音
* @author Kudosharry
* @version v1.0
*
*/ class StrToPinYin{
protected $in_charset; /*输入的字符编码*/
protected $is_just_first_c;/*是否返回字符串首字母*/
protected $is_first_c;/*是否返回每个字符首字母*/
protected $return_type;/*多音字组合是否都需要1只取第一组*/
protected $delimiter;/*每个字符中的分隔符*/
protected static $pinYinTable; const RETURN_STRING = 1; public function __construct($in_charset='UTF-8',$is_just_first_c=false,$is_first_c=false,$return_type=1,$delimiter=''){
$this->in_charset = $in_charset;
$this->is_first_c = $is_first_c;
$this->is_just_first_c = $is_just_first_c;
$this->return_type = $return_type;
$this->delimiter = $delimiter;
if(!self::$pinYinTable){
self::$pinYinTable = include 'class_strtopinyin_data.php';
}
} /*
* 字符串
* 是否返回首字母
* 每个字里中间的分隔符
*
*/
public function ToPinYin($string=''){
if(empty($string)){
return '';
} //转成GBK编码
if("GBK" != $this->in_charset){
//icon在处理有些字符是会报错，需要使用gb2312//IGNORE来取消warning
//$string=iconv($this->in_charset,"gb2312",$string);
$string = mb_convert_encoding($string, "GBK", $this->in_charset);
} $element=$result=array(); //遍历字节，注意：转成GBK了一个汉字占两个字节
for($i=0;$i<strlen($string);$i++){ //第一个字节的ASCII码值
$strFirstOrd=ord($string[$i]); //判断是否是中文字符,首字符在129-254之间
if($strFirstOrd >= 0x81 && $strFirstOrd <= 0xfe){
//判断是否有第二个字节，没有插入一个*
if(!isset($string[$i+1])){
if($this->is_just_first_c === true){
return '*';
}
array_push($element,array('*'));
continue;
} //指针跳到第二个字节
$i++;
//第二个字节的ASCII码值
$strSecondOrd=ord($string[$i]); //拼音表没有也插入一个*
if(!isset(self::$pinYinTable[$strFirstOrd][$strSecondOrd])){
if($this->is_just_first_c === true){
return '*';
}
array_push($element,array('*'));
continue;
}
//插入对应的拼音表数组
if($this->is_just_first_c === true){
return self::$pinYinTable[$strFirstOrd][$strSecondOrd][0][0];
}
array_push($element,self::$pinYinTable[$strFirstOrd][$strSecondOrd]);
}else{
//插入字符本身
if($this->is_just_first_c === true){
return $string[$i];
}
array_push($element,array($string[$i]));
}
} //有多音字就排列组合每种情况
$element=$this->_permutation_combination($element); //遍历所有结果组合
foreach((array)$element as $key=>$item){
//判断是否取每个字符的首音序，得到每个组合的音序字符串数组
if($this->is_first_c === true){
foreach((array)$item as $k=>$val){
$item[$k]=$val[0];
}
}
//每个组合的音序字符串数组合并
$element[$key]=implode($this->delimiter,$item);
} if($this->return_type === StrToPinYin::RETURN_STRING){
return $element[1];
}else{
return $element;
}
} //排列组合所有的多音字，并返回
protected function _permutation_combination($combinlist=array()){
if(empty($combinlist)){ return false;}
$result=array();
/* 计算c(a,1) * c(b, 1) * ... * c(n, 1)的值 */
$combinecount = 1;
foreach($combinlist as $key => $value){
$combinecount *= count($value);
} $repeatcount = $combinecount;
foreach($combinlist as $classno => $itemlist){
// $itemlist中的元素在拆分成组合后纵向出现的最大重复次数
$repeatcount = $repeatcount / count($itemlist);
$startposition = 1;
foreach($itemlist as $itemvalue){
$tempstartposition = $startposition;
$spacecount = $combinecount / count($itemlist) / $repeatcount;
for($j = 1; $j <= $spacecount; $j ++){
for($i = 0; $i < $repeatcount; $i ++){
$result[$tempstartposition + $i][$classno] = $itemvalue;
}
$tempstartposition += $repeatcount * count($itemlist);
}
$startposition += $repeatcount;
}
} return $result;
}
}
<?php
return array (
129 => array (
64 => array ( 0 => 'kao',1 => 'qiao',2 => 'yu',),
65 => array ( 0 => 'shang',),
66 => array ( 0 => 'xia',),
67 => array ( 0 => 'mo ye o ne',),
68 => array ( 0 => 'mian',),
69 => array ( 0 => 'chou',),
70 => array ( 0 => 'shi',),
71 => array ( 0 => 'diu',),
72 => array ( 0 => 'qiu',),
73 => array ( 0 => 'liang',),
74 => array ( 0 => 'you',),
75 => array ( 0 => 'bing',),
76 => array ( 0 => 'jiu',),
77 => array ( 0 => 'ji',),
78 => array ( 0 => 'jie',),
79 => array ( 0 => 'guan',1 => 'kuang',),
80 => array ( 0 => 'chan',),
81 => array ( 0 => 'zhuo',),
82 => array ( 0 => 'ba',),
83 => array ( 0 => 'jing',),
84 => array ( 0 => 'fu',),
85 => array ( 0 => 'yi',1 => 'ji',),
86 => array ( 0 => 'yi',),
87 => array ( 0 => 'shi me',),
88 => array ( 0 => 'jiu',),
89 => array ( 0 => 'ho',),
90 => array ( 0 => 'yin',),
91 => array ( 0 => 'hu',),
92 => array ( 0 => 'cheng',1 => 'sheng',),
93 => array ( 0 => 'hao',1 => 'yi',),
94 => array ( 0 => 'wBn',),
95 => array ( 0 => 'gai',),
96 => array ( 0 => 'jiu',),
97 => array ( 0 => 'hB ri',),
98 => array ( 0 => 'ho lo',),
99 => array ( 0 => 'dou',),
100 => array ( 0 => 'shi',),
101 => array ( 0 => 'nang',),
102 => array ( 0 => 'gB ri',),
103 => array ( 0 => 'ge ri',),
104 => array ( 0 => 'dBo ri',),
105 => array ( 0 => 'mo ri',),
106 => array ( 0 => 'o lo',),
107 => array ( 0 => 'cB lo',),
108 => array ( 0 => 'xue',),
109 => array ( 0 => 'yan',),
110 => array ( 0 => 'po ri',),
111 => array ( 0 => 'sB lo',),
112 => array ( 0 => 'na',),
113 => array ( 0 => 'qian',),
114 => array ( 0 => 'sBo ri',),
115 => array ( 0 => 'er',),
116 => array ( 0 => 'zu ri',),
117 => array ( 0 => 'zB ri',),
118 => array ( 0 => 'zhi',1 => 'luan',),
119 => array ( 0 => 'gui',),
120 => array ( 0 => 'qian',),
121 => array ( 0 => 'luan',),
122 => array ( 0 => 'lin',),
123 => array ( 0 => 'yi',),
124 => array ( 0 => 'jue',),
125 => array ( 0 => 'ma',),
126 => array ( 0 => 'shi',),
128 => array ( 0 => 'yu',),
129 => array ( 0 => 'si',),
130 => array ( 0 => 'sui',),
131 => array ( 0 => 'gen',),
132 => array ( 0 => 'ya',),
133 => array ( 0 => 'qi',1 => 'zhai',),
134 => array ( 0 => 'ya',),
135 => array ( 0 => 'da',),
136 => array ( 0 => 'ye',),
137 => array ( 0 => 'xiang',),
138 => array ( 0 => 'jing',),
139 => array ( 0 => 'ye',),
140 => array ( 0 => 'you',),
141 => array ( 0 => 'dan',),
142 => array ( 0 => 'lian',),
143 => array ( 0 => 'duo',),
144 => array ( 0 => 'wei',1 => 'men',),
145 => array ( 0 => 'ji',),
146 => array ( 0 => 'ji',),
147 => array ( 0 => 'wang',),
148 => array ( 0 => 'ba',),
149 => array ( 0 => 'bing',),
150 => array ( 0 => 'fo',),
151 => array ( 0 => 'jin',1 => 'san',),
152 => array ( 0 => 'e o',),
153 => array ( 0 => 'xian',),
154 => array ( 0 => 'tuo',1 => 'cha',2 => 'duo',),
155 => array ( 0 => 'hong',),
156 => array ( 0 => 'gan',1 => 'han',),
157 => array ( 0 => 'bo',),
158 => array ( 0 => 'chao',),
159 => array ( 0 => 'chang',1 => 'zhang',),
160 => array ( 0 => 'chang',),
161 => array ( 0 => 'ren',),
162 => array ( 0 => 'fan',),
163 => array ( 0 => 'chao',1 => 'miao',),
164 => array ( 0 => 'qian',),
165 => array ( 0 => 'wo',),
166 => array ( 0 => 'yao',1 => 'fo',),
167 => array ( 0 => 'feng',),
168 => array ( 0 => 'cang',),
169 => array ( 0 => 'wang',),
170 => array ( 0 => 'di',),
171 => array ( 0 => 'zhong',),
172 => array ( 0 => 'pei',),
173 => array ( 0 => 'yu',),
174 => array ( 0 => 'diao',),
175 => array ( 0 => 'dun',),
176 => array ( 0 => 'wen',),
177 => array ( 0 => 'yi',),
178 => array ( 0 => 'xin',),
179 => array ( 0 => 'ji',),
180 => array ( 0 => 'ai',),
181 => array ( 0 => 'jin',),
182 => array ( 0 => 'pi',),
183 => array ( 0 => 'dan',),
184 => array ( 0 => 'fu',),
185 => array ( 0 => 'tang',),
186 => array ( 0 => 'cui',),
187 => array ( 0 => 'yun',),
188 => array ( 0 => 'che',1 => 'ju',),
189 => array ( 0 => 'qian',),
190 => array ( 0 => 'xun',),
191 => array ( 0 => 'xin',),
192 => array ( 0 => 'chi',),
193 => array ( 0 => 'xian',1 => 'xuan',),
194 => array ( 0 => 'nu',),
195 => array ( 0 => 'ni',),
196 => array ( 0 => 'xie',),
197 => array ( 0 => 'xu',),
198 => array ( 0 => 'zhou',),
199 => array ( 0 => 'qu',),
200 => array ( 0 => 'peng',),
201 => array ( 0 => 'pi',),
202 => array ( 0 => 'zhi',),
203 => array ( 0 => 'si',),
204 => array ( 0 => 'yi',1 => 'chi',),
205 => array ( 0 => 'zheng',),
206 => array ( 0 => 'han',1 => 'gan',),
207 => array ( 0 => 'mai',),
208 => array ( 0 => 'zhu',),
209 => array ( 0 => 'bu',),
210 => array ( 0 => 'qu',),
211 => array ( 0 => 'bi',),
212 => array ( 0 => 'zhao',1 => 'shao',),
213 => array ( 0 => 'ci',),
214 => array ( 0 => 'yang',),
215 => array ( 0 => 'zhan',1 => 'dian',),
216 => array ( 0 => 'bi',),
217 => array ( 0 => 'xian',),
218 => array ( 0 => 'qu',),
219 => array ( 0 => 'shi',),
220 => array ( 0 => 'bBo',),
221 => array ( 0 => 'hui',1 => 'huai',),
222 => array ( 0 => 'ge',),
223 => array ( 0 => 'xiang',),
224 => array ( 0 => 'ge',),
225 => array ( 0 => 'fa',),
226 => array ( 0 => 'ming',),
227 => array ( 0 => 'bing',),
228 => array ( 0 => 'hen',),
229 => array ( 0 => 'huo',),
230 => array ( 0 => 'gui',),
231 => array ( 0 => 'quan',),
232 => array ( 0 => 'ci',),
233 => array ( 0 => 'xing',),
234 => array ( 0 => 'shen',),
235 => array ( 0 => 'tuo',),
236 => array ( 0 => 'gai',),
237 => array ( 0 => 'lai',),
238 => array ( 0 => 'yi',),
239 => array ( 0 => 'gong',),
240 => array ( 0 => 'yin',),
241 => array ( 0 => 'mi',),
242 => array ( 0 => 'xu',),
243 => array ( 0 => 'an',),
244 => array ( 0 => 'lu',),
245 => array ( 0 => 'er',),
246 => array ( 0 => 'lun',),
247 => array ( 0 => 'cha',),
248 => array ( 0 => 'chi',),
249 => array ( 0 => 'xun',),
250 => array ( 0 => 'zhou',),
251 => array ( 0 => 'ru',),
252 => array ( 0 => 'cun',),
253 => array ( 0 => 'si',),
254 => array ( 0 => 'dai',),
),
130 => array (
64 => array ( 0 => 'tB',),
65 => array ( 0 => 'ning',),
66 => array ( 0 => 'jin',),
67 => array ( 0 => 'jiong',),
68 => array ( 0 => 'cheng',1 => 'ting',),
69 => array ( 0 => 'zhen',),
70 => array ( 0 => 'zuo',),
71 => array ( 0 => 'hao',),
72 => array ( 0 => 'lv',),
73 => array ( 0 => 'jv',),
74 => array ( 0 => 'shu',1 => 'dou',),
75 => array ( 0 => 'ting',),
76 => array ( 0 => 'shen',),
77 => array ( 0 => 'tuo',1 => 'tui',),
78 => array ( 0 => 'bo',),
79 => array ( 0 => 'nan',),
80 => array ( 0 => 'xiao',),
81 => array ( 0 => 'tui',),
82 => array ( 0 => 'yu',),
83 => array ( 0 => 'xi',),
84 => array ( 0 => 'xu',),
85 => array ( 0 => 'guang',),
86 => array ( 0 => 'ku',),
87 => array ( 0 => 'wu',),
88 => array ( 0 => 'yi',),
89 => array ( 0 => 'fu',),
90 => array ( 0 => 'liang',),
91 => array ( 0 => 'hun',),
92 => array ( 0 => 'jing',),
93 => array ( 0 => 'qian',),
94 => array ( 0 => 'san',),
95 => array ( 0 => 'pei',),
96 => array ( 0 => 'xi',),
97 => array ( 0 => 'fu',),
98 => array ( 0 => 'xia',),
99 => array ( 0 => 'xiu',),
100 => array ( 0 => 'di',),
101 => array ( 0 => 'che',1 => 'ju',),
102 => array ( 0 => 'zhi',),
103 => array ( 0 => 'lai',),
104 => array ( 0 => 'si',),
105 => array ( 0 => 'huo',),
106 => array ( 0 => 'xiao',),
107 => array ( 0 => 'jian',),
108 => array ( 0 => 'biao',),
109 => array ( 0 => 'chu',1 => 'ti',),
110 => array ( 0 => 'fei',),
111 => array ( 0 => 'ya',),
112 => array ( 0 => 'bei',),
113 => array ( 0 => 'yu',),
114 => array ( 0 => 'xin',),
115 => array ( 0 => 'hu',1 => 'chi',),
116 => array ( 0 => 'chang',),
117 => array ( 0 => 'zhi',),
118 => array ( 0 => 'bing',),
119 => array ( 0 => 'jiu',),
120 => array ( 0 => 'yao',),
121 => array ( 0 => 'cui',1 => 'zu',),
122 => array ( 0 => 'liang',1 => 'lia',),
123 => array ( 0 => 'wan',),
124 => array ( 0 => 'lai',),
125 => array ( 0 => 'cang',),
126 => array ( 0 => 'zong',),
128 => array ( 0 => 'ge',),
129 => array ( 0 => 'tian',),
130 => array ( 0 => 'shu',),
131 => array ( 0 => 'men',),
132 => array ( 0 => 'tan',),
133 => array ( 0 => 'chui',),
134 => array ( 0 => 'xing',),
135 => array ( 0 => 'peng',),
136 => array ( 0 => 'qi',),
137 => array ( 0 => 'gan',),
138 => array ( 0 => 'liang',1 => 'jing',),
139 => array ( 0 => 'sui',),
140 => array ( 0 => 'jie',),
141 => array ( 0 => 'fang',),
142 => array ( 0 => 'zhi',),
143 => array ( 0 => 'zong',),
144 => array ( 0 => 'lun',),
145 => array ( 0 => 'song',),
146 => array ( 0 => 'leng',),
147 => array ( 0 => 'hun',),
148 => array ( 0 => 'dong',),
149 => array ( 0 => 'zi',),
150 => array ( 0 => 'ben',),
151 => array ( 0 => 'wu',),
152 => array ( 0 => 'ju',),
153 => array ( 0 => 'nai',),
154 => array ( 0 => 'cai',),
155 => array ( 0 => 'jian',),
156 => array ( 0 => 'ye',),
157 => array ( 0 => 'sha',),
158 => array ( 0 => 'ning',),
159 => array ( 0 => 'ying',),
160 => array ( 0 => 'cheng',1 => 'chen',),
161 => array ( 0 => 'qian',),
162 => array ( 0 => 'ruan',),
163 => array ( 0 => 'zhong',1 => 'tong',),
164 => array ( 0 => 'chun',),
165 => array ( 0 => 'wei',),
166 => array ( 0 => 'yu',),
167 => array ( 0 => 'bing',),
168 => array ( 0 => 'ti',),
169 => array ( 0 => 'yan',),
170 => array ( 0 => 'feng',),
171 => array ( 0 => 'tang',1 => 'dang',),
172 => array ( 0 => 'wo',),
173 => array ( 0 => 'e',),
174 => array ( 0 => 'che',),
175 => array ( 0 => 'sheng',),
176 => array ( 0 => 'kan',),
177 => array ( 0 => 'di',),
178 => array ( 0 => 'cha',),
179 => array ( 0 => 'bei',),
180 => array ( 0 => 'xie',),
181 => array ( 0 => 'huang',),
182 => array ( 0 => 'yao',),
183 => array ( 0 => 'zhan',),
184 => array ( 0 => 'chou',1 => 'qiao',),
185 => array ( 0 => 'an',),
186 => array ( 0 => 'you',),
187 => array ( 0 => 'xu',),
188 => array ( 0 => 'zha',),
189 => array ( 0 => 'ci',),
190 => array ( 0 => 'fu',),
191 => array ( 0 => 'bi',),
192 => array ( 0 => 'zhi',),
193 => array ( 0 => 'mian',),
194 => array ( 0 => 'ji',),
195 => array ( 0 => 'yi',),
196 => array ( 0 => 'xie',),
197 => array ( 0 => 'xun',),
198 => array ( 0 => 'cai',1 => 'si',),
199 => array ( 0 => 'duan',),
200 => array ( 0 => 'ce',1 => 'ze',2 => 'zhai',),
201 => array ( 0 => 'zhen',),
202 => array ( 0 => 'tou',),
203 => array ( 0 => 'bei',),
204 => array ( 0 => 'zan',1 => 'za',2 => 'zBn',),
205 => array ( 0 => 'jie',),
206 => array ( 0 => 'wei',),
207 => array ( 0 => 'sou',),
208 => array ( 0 => 'zhi',1 => 'si',),
209 => array ( 0 => 'su',),
210 => array ( 0 => 'xia',),
211 => array ( 0 => 'yuan',),
212 => array ( 0 => 'rong',),
213 => array ( 0 => 'nu',),
214 => array ( 0 => 'yun',),
215 => array ( 0 => 'jiang',1 => 'gou',),
216 => array ( 0 => 'ma',),
217 => array ( 0 => 'dian',),
218 => array ( 0 => 'tang',),
219 => array ( 0 => 'hao',),
220 => array ( 0 => 'jie',),
221 => array ( 0 => 'xi',),
222 => array ( 0 => 'shan',),
223 => array ( 0 => 'qian',1 => 'jian',),
224 => array ( 0 => 'que',1 => 'jue',),
225 => array ( 0 => 'cang',1 => 'chen',),
226 => array ( 0 => 'chu',),
227 => array ( 0 => 'san',),
228 => array ( 0 => 'bei',),
229 => array ( 0 => 'xiao',),
230 => array ( 0 => 'rong',),
231 => array ( 0 => 'yao',),
232 => array ( 0 => 'ta',1 => 'tan',),
233 => array ( 0 => 'suo',),
234 => array ( 0 => 'yang',),
235 => array ( 0 => 'fa',),
236 => array ( 0 => 'bing',),
237 => array ( 0 => 'jia',),
238 => array ( 0 => 'zai',),
239 => array ( 0 => 'gu',),
240 => array ( 0 => 'can',),
241 => array ( 0 => 'lei',),
242 => array ( 0 => 'yong',),
243 => array ( 0 => 'zao',1 => 'cao',),
244 => array ( 0 => 'zong',),
245 => array ( 0 => 'peng',),
246 => array ( 0 => 'song',),
247 => array ( 0 => 'chuan',1 => 'zhuan',),
248 => array ( 0 => 'yu',),
249 => array ( 0 => 'zhai',),
250 => array ( 0 => 'qi',1 => 'cou',),
251 => array ( 0 => 'shang',),
252 => array ( 0 => 'chuang',),
253 => array ( 0 => 'jing',),
254 => array ( 0 => 'han',),
),
131 => array (
64 => array ( 0 => 'zhang',),
65 => array ( 0 => 'qing',),
66 => array ( 0 => 'yan',),
67 => array ( 0 => 'di',),
68 => array ( 0 => 'xie',),
69 => array ( 0 => 'lv',1 => 'lou',),
70 => array ( 0 => 'bei',),
71 => array ( 0 => 'piao',1 => 'biao',),
72 => array ( 0 => 'jin',),
73 => array ( 0 => 'lian',),
74 => array ( 0 => 'lu',),
75 => array ( 0 => 'man',),
76 => array ( 0 => 'qian',),
77 => array ( 0 => 'xian',),
78 => array ( 0 => 'tan',),
79 => array ( 0 => 'ying',),
80 => array ( 0 => 'dong',),
81 => array ( 0 => 'zhuan',),
82 => array ( 0 => 'shan',),
83 => array ( 0 => 'qiao',),
84 => array ( 0 => 'jiong',),
85 => array ( 0 => 'tui',),
86 => array ( 0 => 'zun',),
87 => array ( 0 => 'pu',),
88 => array ( 0 => 'lao',),
89 => array ( 0 => 'chang',),
90 => array ( 0 => 'guang',),
91 => array ( 0 => 'qi',),
92 => array ( 0 => 'cheng',1 => 'deng',),
93 => array ( 0 => 'zhan',1 => 'zhuan',2 => 'chan',),
94 => array ( 0 => 'wei',),
95 => array ( 0 => 'ji',),
96 => array ( 0 => 'bo',),
97 => array ( 0 => 'hui',),
98 => array ( 0 => 'chuan',),
99 => array ( 0 => 'tie',1 => 'jian',),
100 => array ( 0 => 'dan',),
101 => array ( 0 => 'jiao',1 => 'yao',),
102 => array ( 0 => 'fen',),
103 => array ( 0 => 'xian',),
104 => array ( 0 => 'yu',1 => 'ju',),
105 => array ( 0 => 'e',1 => 'wu',),
106 => array ( 0 => 'lin',),
107 => array ( 0 => 'bo',),
108 => array ( 0 => 'gu',),
109 => array ( 0 => 'xian',),
110 => array ( 0 => 'xian',),
111 => array ( 0 => 'min',),
112 => array ( 0 => 'ye',),
113 => array ( 0 => 'jin',),
114 => array ( 0 => 'jia',1 => 'jie',),
115 => array ( 0 => 'qiao',),
116 => array ( 0 => 'feng',),
117 => array ( 0 => 'zhou',),
118 => array ( 0 => 'ai',),
119 => array ( 0 => 'sai',),
120 => array ( 0 => 'yi',),
121 => array ( 0 => 'jun',),
122 => array ( 0 => 'nong',),
123 => array ( 0 => 'chan',1 => 'tan',2 => 'shan',),
124 => array ( 0 => 'yi',),
125 => array ( 0 => 'dang',),
126 => array ( 0 => 'kuai',),
128 => array ( 0 => 'jian',),
129 => array ( 0 => 'chu',),
130 => array ( 0 => 'jiao',),
131 => array ( 0 => 'sha',),
132 => array ( 0 => 'zai',),
133 => array ( 0 => 'cBn',),
134 => array ( 0 => 'bin',),
135 => array ( 0 => 'an',),
136 => array ( 0 => 'tai',),
137 => array ( 0 => 'chou',),
138 => array ( 0 => 'chai',),
139 => array ( 0 => 'lan',),
140 => array ( 0 => 'ni',1 => 'yi',),
141 => array ( 0 => 'jin',),
142 => array ( 0 => 'qian',),
143 => array ( 0 => 'meng',),
144 => array ( 0 => 'wu',),
145 => array ( 0 => 'ning',),
146 => array ( 0 => 'qiong',),
147 => array ( 0 => 'ni',),
148 => array ( 0 => 'chang',),
149 => array ( 0 => 'lie',),
150 => array ( 0 => 'lv',),
151 => array ( 0 => 'kuang',),
152 => array ( 0 => 'bao',),
153 => array ( 0 => 'yu',),
154 => array ( 0 => 'biao',),
155 => array ( 0 => 'zan',),
156 => array ( 0 => 'zhi',),
157 => array ( 0 => 'si',),
158 => array ( 0 => 'you',),
159 => array ( 0 => 'hao',),
160 => array ( 0 => 'qing',),
161 => array ( 0 => 'chen',),
162 => array ( 0 => 'li',),
163 => array ( 0 => 'teng',),
164 => array ( 0 => 'wei',),
165 => array ( 0 => 'long',),
166 => array ( 0 => 'chu',),
167 => array ( 0 => 'chan',),
168 => array ( 0 => 'rang',1 => 'xiang',),
169 => array ( 0 => 'shu',),
170 => array ( 0 => 'hui',1 => 'xie',),
171 => array ( 0 => 'li',),
172 => array ( 0 => 'luo',),
173 => array ( 0 => 'zan',),
174 => array ( 0 => 'nuo',),
175 => array ( 0 => 'tang',),
176 => array ( 0 => 'yan',),
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200 => array ( 0 => 'liang',),
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202 => array ( 0 => 'sang',),
203 => array ( 0 => 'chi',),
204 => array ( 0 => 'qiao',1 => 'jiao',),
205 => array ( 0 => 'yan',),
206 => array ( 0 => 'dan',1 => 'shan',2 => 'chan',),
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208 => array ( 0 => 'can',1 => 'sun',2 => 'qi',),
209 => array ( 0 => 'yo',),
210 => array ( 0 => 'wei',),
211 => array ( 0 => 'ying',),
212 => array ( 0 => 'pBo xi',),
213 => array ( 0 => 'xi',),
214 => array ( 0 => 'jie',),
215 => array ( 0 => 'zao',1 => 'qiao',),
216 => array ( 0 => 'hu',),
217 => array ( 0 => 'ti',),
218 => array ( 0 => 'yao',),
219 => array ( 0 => 'he',1 => 'xiao',2 => 'hu',),
220 => array ( 0 => 'qiang',),
221 => array ( 0 => 'se',),
222 => array ( 0 => 'yong',),
223 => array ( 0 => 'gong',1 => 'hong',),
224 => array ( 0 => 'xie',),
225 => array ( 0 => 'ma',1 => 'mB',),
226 => array ( 0 => 'chB',),
227 => array ( 0 => 'hai',),
228 => array ( 0 => 'ru',),
229 => array ( 0 => 'wa',1 => 'gu',),
230 => array ( 0 => 'ji',),
231 => array ( 0 => 'beng',1 => 'pang',),
232 => array ( 0 => 'wu',),
233 => array ( 0 => 'xian',1 => 'qian',2 => 'qie',),
234 => array ( 0 => 'zi',),
235 => array ( 0 => 'lao',),
236 => array ( 0 => 'wa',),
237 => array ( 0 => 'jia lun',),
238 => array ( 0 => 'suo',),
239 => array ( 0 => 'zi',),
240 => array ( 0 => 'sBi',),
241 => array ( 0 => 'ge',),
242 => array ( 0 => 'na',),
243 => array ( 0 => 'qiang',),
244 => array ( 0 => 'bi',),
245 => array ( 0 => 'ao',),
246 => array ( 0 => 'lian',),
247 => array ( 0 => 'zui',1 => 'sui',),
248 => array ( 0 => 'zhe',1 => 'zhu',),
249 => array ( 0 => 'mo',),
250 => array ( 0 => 'tan',),
251 => array ( 0 => 'jiao',),
252 => array ( 0 => 'chong',),
253 => array ( 0 => 'jiao',1 => 'dao',),
254 => array ( 0 => 'kai',1 => 'ge',),
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65 => array ( 0 => 'shan',1 => 'can',),
66 => array ( 0 => 'ai',),
67 => array ( 0 => 'xiao',),
68 => array ( 0 => 'lou',),
69 => array ( 0 => 'xiao',1 => 'jiao',),
70 => array ( 0 => 'hu',),
71 => array ( 0 => 'hui',),
72 => array ( 0 => 'guo',),
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74 => array ( 0 => 'xian',),
75 => array ( 0 => 'ze',),
76 => array ( 0 => 'chang',),
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79 => array ( 0 => 'ma',),
80 => array ( 0 => 'hu',),
81 => array ( 0 => 'ga',),
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83 => array ( 0 => 'ye',),
84 => array ( 0 => 'sai',),
85 => array ( 0 => 'jiao',),
86 => array ( 0 => 'xiao',),
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88 => array ( 0 => 'mai',),
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90 => array ( 0 => 'lao',),
91 => array ( 0 => 'xiao',),
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93 => array ( 0 => 'kui',),
94 => array ( 0 => 'xiao',),
95 => array ( 0 => 'hao',),
96 => array ( 0 => 'fu',1 => '?',),
97 => array ( 0 => 'qiao',),
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101 => array ( 0 => 'xun',),
102 => array ( 0 => 'e',),
103 => array ( 0 => 'zun',),
104 => array ( 0 => 'fan',1 => 'bo',),
105 => array ( 0 => 'chi',),
106 => array ( 0 => 'hui',),
107 => array ( 0 => 'zan',),
108 => array ( 0 => 'chuang',),
109 => array ( 0 => 'cu',1 => 'za',2 => 'he',),
110 => array ( 0 => 'dan',),
111 => array ( 0 => 'jue',),
112 => array ( 0 => 'tun',1 => 'kuo',),
113 => array ( 0 => 'xi',),
114 => array ( 0 => 'qi',),
115 => array ( 0 => 'hao',),
116 => array ( 0 => 'lian',),
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120 => array ( 0 => 'xun',),
121 => array ( 0 => 'nie',),
122 => array ( 0 => 'si',),
123 => array ( 0 => 'yan',),
124 => array ( 0 => 'ying',),
125 => array ( 0 => 'da',),
126 => array ( 0 => 'zhan',),
128 => array ( 0 => 'zhou',1 => 'zhuo',),
129 => array ( 0 => 'nong',),
130 => array ( 0 => 'yue',1 => 'hui',),
131 => array ( 0 => 'xie',),
132 => array ( 0 => 'jiao',1 => 'qiao',2 => 'chi',),
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134 => array ( 0 => 'ai',),
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136 => array ( 0 => 'kuai',),
137 => array ( 0 => 'yu',),
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143 => array ( 0 => 'hB nB xi',),
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145 => array ( 0 => 'yin',),
146 => array ( 0 => 'zui',),
147 => array ( 0 => 'ning',),
148 => array ( 0 => 'di',),
149 => array ( 0 => 'lan',),
150 => array ( 0 => 'ta',),
151 => array ( 0 => 'huo',1 => 'o',),
152 => array ( 0 => 'he',1 => 'xia',),
153 => array ( 0 => 'yan',),
154 => array ( 0 => 'duo',),
155 => array ( 0 => 'xiu',1 => 'pi',),
156 => array ( 0 => 'zhou',1 => 'chou',),
157 => array ( 0 => 'ji',1 => 'jie',2 => 'zhai',),
158 => array ( 0 => 'jin',),
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160 => array ( 0 => 'xun',),
161 => array ( 0 => 'me',),
162 => array ( 0 => 'ti',),
163 => array ( 0 => 'lu',),
164 => array ( 0 => 'hui',),
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166 => array ( 0 => 'you',),
167 => array ( 0 => 'nie',),
168 => array ( 0 => 'yin',),
169 => array ( 0 => 'hu',),
170 => array ( 0 => 'mei',1 => 'me',2 => 'mo',),
171 => array ( 0 => 'hong',),
172 => array ( 0 => 'zhe',),
173 => array ( 0 => 'li',),
174 => array ( 0 => 'liu',),
175 => array ( 0 => 'xie',1 => 'hai',),
176 => array ( 0 => 'nang',),
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178 => array ( 0 => 'yan',),
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180 => array ( 0 => 'lu',),
181 => array ( 0 => 'long',),
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183 => array ( 0 => 'dan',),
184 => array ( 0 => 'chen',),
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201 => array ( 0 => 'huo',),
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239 => array ( 0 => 'duo',),
240 => array ( 0 => 'qing',),
241 => array ( 0 => 'yi xi',),
242 => array ( 0 => 'gou',),
243 => array ( 0 => 'qi',),
244 => array ( 0 => 'meng',),
245 => array ( 0 => 'meng',),
246 => array ( 0 => 'chen',),
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248 => array ( 0 => 'guai',),
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251 => array ( 0 => 'tai',),
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253 => array ( 0 => 'bi',),
254 => array ( 0 => 'hua',),
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71 => array ( 0 => 'xie',),
72 => array ( 0 => 'dian',),
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102 => array ( 0 => 'nuan',),
103 => array ( 0 => 'cha',),
104 => array ( 0 => 'xian',),
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106 => array ( 0 => 'ji',),
107 => array ( 0 => 'hong',),
108 => array ( 0 => 'dan',),
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110 => array ( 0 => 'jing',),
111 => array ( 0 => 'hai',1 => 'jie',),
112 => array ( 0 => 'wen',),
113 => array ( 0 => 'zhong',),
114 => array ( 0 => 'pa',),
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126 => array ( 0 => 'feng',),
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166 => array ( 0 => 'jian',),
167 => array ( 0 => 'jian',),
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176 => array ( 0 => 'zhong',),
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201 => array ( 0 => 'meng',),
202 => array ( 0 => 'zhun',),
203 => array ( 0 => 'cheng',),
204 => array ( 0 => 'tai',),
205 => array ( 0 => 'da',1 => 'ta',),
206 => array ( 0 => 'wa',),
207 => array ( 0 => 'gou',),
208 => array ( 0 => 'sao',),
209 => array ( 0 => 'zha',),
210 => array ( 0 => 'shi',),
211 => array ( 0 => 'lun',),
212 => array ( 0 => 'ma',),
213 => array ( 0 => 'wei',),
214 => array ( 0 => 'zai',),
215 => array ( 0 => 'wu',),
216 => array ( 0 => 'wen',),
217 => array ( 0 => 'qiang',),
218 => array ( 0 => 'ze',),
219 => array ( 0 => 'shi',),
220 => array ( 0 => 'ai',),
221 => array ( 0 => 'yun',),
222 => array ( 0 => 'yin',),
223 => array ( 0 => 'su',),
224 => array ( 0 => 'suo',),
225 => array ( 0 => 'shi',),
226 => array ( 0 => 'ai',),
227 => array ( 0 => 'pan',),
228 => array ( 0 => 'chu',1 => 'xu',),
229 => array ( 0 => 'weng',),
230 => array ( 0 => 'cang',),
231 => array ( 0 => 'mie',),
232 => array ( 0 => 'ge',),
233 => array ( 0 => 'hao',1 => 'xue',),
234 => array ( 0 => 'huang',),
235 => array ( 0 => 'qi',1 => 'xi',2 => 'xie',),
236 => array ( 0 => 'di',),
237 => array ( 0 => 'zhi',),
238 => array ( 0 => 'xing',1 => 'ying',),
239 => array ( 0 => 'jie',),
240 => array ( 0 => 'ge',),
241 => array ( 0 => 'sui',),
242 => array ( 0 => 'jiao',),
243 => array ( 0 => 'hui',),
244 => array ( 0 => 'yin',),
245 => array ( 0 => 'ze',1 => 'hao',),
246 => array ( 0 => 'long',),
247 => array ( 0 => 'chun',),
248 => array ( 0 => 'yao',),
249 => array ( 0 => 'yu',),
250 => array ( 0 => 'xiu',),
251 => array ( 0 => 'hu',),
252 => array ( 0 => 'bi',),
253 => array ( 0 => 'biao',),
254 => array ( 0 => 'zhi',),
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66 => array ( 0 => 'shen',),
67 => array ( 0 => 'shang',),
68 => array ( 0 => 'mi',),
69 => array ( 0 => 'ao',),
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72 => array ( 0 => 'you',),
73 => array ( 0 => 'chan',),
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75 => array ( 0 => 'yong',),
76 => array ( 0 => 'gun',),
77 => array ( 0 => 'man',),
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79 => array ( 0 => 'yu',),
80 => array ( 0 => 'ji',),
81 => array ( 0 => 'ya',),
82 => array ( 0 => 'chao',),
83 => array ( 0 => 'xi',),
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85 => array ( 0 => 'lou',),
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88 => array ( 0 => 'guo',),
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91 => array ( 0 => 'gai',),
92 => array ( 0 => 'qiang',),
93 => array ( 0 => 'jiao',),
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96 => array ( 0 => 'tuan',1 => 'zhuan',),
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98 => array ( 0 => 'teng',),
99 => array ( 0 => 'ye',),
100 => array ( 0 => 'xi',),
101 => array ( 0 => 'mi',),
102 => array ( 0 => 'tang',),
103 => array ( 0 => 'shang',),
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105 => array ( 0 => 'lian',),
106 => array ( 0 => 'wa',),
107 => array ( 0 => 'chi',),
108 => array ( 0 => 'gan',),
109 => array ( 0 => 'feng',1 => 'peng',),
110 => array ( 0 => 'zi',),
111 => array ( 0 => 'kang',),
112 => array ( 0 => 'ben',1 => 'peng',),
113 => array ( 0 => 'zhang',),
114 => array ( 0 => 'chong',1 => 'zhuang',),
115 => array ( 0 => 'xu',),
116 => array ( 0 => 'huo',1 => 'kuo',),
117 => array ( 0 => 'jian',),
118 => array ( 0 => 'yan',),
119 => array ( 0 => 'shuang',),
120 => array ( 0 => 'liao',1 => 'liu',),
121 => array ( 0 => 'cui',),
122 => array ( 0 => 'ti',),
123 => array ( 0 => 'jiang',),
124 => array ( 0 => 'cong',1 => 'zong',),
125 => array ( 0 => 'ying',),
126 => array ( 0 => 'hong',),
128 => array ( 0 => 'xiu',),
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130 => array ( 0 => 'guan',),
131 => array ( 0 => 'cong',1 => 'zong',),
132 => array ( 0 => 'kun',),
133 => array ( 0 => 'xu',),
134 => array ( 0 => 'zhi',),
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136 => array ( 0 => 'yu',),
137 => array ( 0 => 'jiao',1 => 'qiao',),
138 => array ( 0 => 'po',),
139 => array ( 0 => 'dang',1 => 'xiang',),
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141 => array ( 0 => 'jie',),
142 => array ( 0 => 'wu',),
143 => array ( 0 => 'pa',),
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146 => array ( 0 => 'su',),
147 => array ( 0 => 'qian',),
148 => array ( 0 => 'xi',1 => 'ya',),
149 => array ( 0 => 'xi',),
150 => array ( 0 => 'xun',),
151 => array ( 0 => 'dun',),
152 => array ( 0 => 'min',),
153 => array ( 0 => 'run',),
154 => array ( 0 => 'su',),
155 => array ( 0 => 'zhen',),
156 => array ( 0 => 'cong',1 => 'zong',),
157 => array ( 0 => 'yi',),
158 => array ( 0 => 'zhi',),
159 => array ( 0 => 'wan',),
160 => array ( 0 => 'tan',1 => 'shan',),
161 => array ( 0 => 'xun',),
162 => array ( 0 => 'kui',1 => 'hui',),
163 => array ( 0 => 'ye',),
164 => array ( 0 => 'tu',1 => 'zha',),
165 => array ( 0 => 'san',1 => 'sa',),
166 => array ( 0 => 'hei',),
167 => array ( 0 => 'bi',),
168 => array ( 0 => 'chan',),
169 => array ( 0 => 'shu',),
170 => array ( 0 => 'pu',),
171 => array ( 0 => 'lin',),
172 => array ( 0 => 'wei',),
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175 => array ( 0 => 'cheng',),
176 => array ( 0 => 'jiong',),
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178 => array ( 0 => 'jiao',),
179 => array ( 0 => 'lao',),
180 => array ( 0 => 'cun',),
181 => array ( 0 => 'jing',),
182 => array ( 0 => 'han',),
183 => array ( 0 => 'yun',),
184 => array ( 0 => 'liu',),
185 => array ( 0 => 'hong',1 => 'gong',),
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202 => array ( 0 => 'xie',),
203 => array ( 0 => 'yu',),
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210 => array ( 0 => 'liao',),
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213 => array ( 0 => 'guang',),
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122 => array ( 0 => 'gui',1 => 'kui',),
123 => array ( 0 => 'jian',),
124 => array ( 0 => 'ye',),
125 => array ( 0 => 'ai',),
126 => array ( 0 => 'hui',),
128 => array ( 0 => 'jian',),
129 => array ( 0 => 'zhao',),
130 => array ( 0 => 'wei',),
131 => array ( 0 => 'chou',),
132 => array ( 0 => 'sao',),
133 => array ( 0 => 'ning',1 => 'cheng',),
134 => array ( 0 => 'xun',),
135 => array ( 0 => 'yao',),
136 => array ( 0 => 'huo',1 => 'yue',),
137 => array ( 0 => 'meng',),
138 => array ( 0 => 'mian',),
139 => array ( 0 => 'pin',),
140 => array ( 0 => 'mian',),
141 => array ( 0 => 'lei',),
142 => array ( 0 => 'kuang',1 => 'guo',),
143 => array ( 0 => 'xuan',),
144 => array ( 0 => 'mian',),
145 => array ( 0 => 'huo',),
146 => array ( 0 => 'lu',),
147 => array ( 0 => 'meng',),
148 => array ( 0 => 'long',),
149 => array ( 0 => 'guan',1 => 'quan',),
150 => array ( 0 => 'man',),
151 => array ( 0 => 'xi',),
152 => array ( 0 => 'tang',),
153 => array ( 0 => 'kan',),
154 => array ( 0 => 'zhu',),
155 => array ( 0 => 'jin',1 => 'qin',2 => 'guan',),
156 => array ( 0 => 'yu',1 => 'xu',2 => 'jue',),
157 => array ( 0 => 'shuo',),
158 => array ( 0 => 'ze',),
159 => array ( 0 => 'jue',),
160 => array ( 0 => 'shen',),
161 => array ( 0 => 'bing',),
162 => array ( 0 => 'bing',),
163 => array ( 0 => 'bo',),
164 => array ( 0 => 'bo',),
165 => array ( 0 => 'bo',),
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170 => array ( 0 => 'bo',1 => 'bei',),
171 => array ( 0 => 'bo',),
172 => array ( 0 => 'bo',),
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178 => array ( 0 => 'bo',),
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184 => array ( 0 => 'bu',),
185 => array ( 0 => 'bu',),
186 => array ( 0 => 'bu',),
187 => array ( 0 => 'bu',1 => 'fou',),
188 => array ( 0 => 'bu',),
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190 => array ( 0 => 'bu',1 => 'bo',),
191 => array ( 0 => 'bu',),
192 => array ( 0 => 'bu',),
193 => array ( 0 => 'ca',),
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195 => array ( 0 => 'cai',),
196 => array ( 0 => 'cai',),
197 => array ( 0 => 'cai',),
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199 => array ( 0 => 'cai',),
200 => array ( 0 => 'cai',),
201 => array ( 0 => 'cai',),
202 => array ( 0 => 'cai',),
203 => array ( 0 => 'cai',),
204 => array ( 0 => 'cai',),
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206 => array ( 0 => 'can',1 => 'shen',2 => 'cen',3 => 'san',),
207 => array ( 0 => 'can',),
208 => array ( 0 => 'can',),
209 => array ( 0 => 'can',),
210 => array ( 0 => 'can',),
211 => array ( 0 => 'can',),
212 => array ( 0 => 'cang',),
213 => array ( 0 => 'cang',),
214 => array ( 0 => 'cang',),
215 => array ( 0 => 'cang',),
216 => array ( 0 => 'cang',1 => 'zang',),
217 => array ( 0 => 'cao',),
218 => array ( 0 => 'cao',),
219 => array ( 0 => 'cao',),
220 => array ( 0 => 'cao',),
221 => array ( 0 => 'cao',),
222 => array ( 0 => 'ce',),
223 => array ( 0 => 'ce',),
224 => array ( 0 => 'ce',1 => 'ze',2 => 'zhai',),
225 => array ( 0 => 'ce',),
226 => array ( 0 => 'ce',),
227 => array ( 0 => 'ceng',),
228 => array ( 0 => 'ceng',),
229 => array ( 0 => 'cha',),
230 => array ( 0 => 'cha',),
231 => array ( 0 => 'cha',),
232 => array ( 0 => 'cha',),
233 => array ( 0 => 'cha',1 => 'zha',),
234 => array ( 0 => 'cha',),
235 => array ( 0 => 'cha',),
236 => array ( 0 => 'cha',),
237 => array ( 0 => 'cha',),
238 => array ( 0 => 'cha',1 => 'chai',2 => 'ci',),
239 => array ( 0 => 'cha',),
240 => array ( 0 => 'chai',1 => 'ca',),
241 => array ( 0 => 'chai',),
242 => array ( 0 => 'chai',),
243 => array ( 0 => 'chan',),
244 => array ( 0 => 'chan',1 => 'xian',2 => 'can',3 => 'shan',),
245 => array ( 0 => 'chan',),
246 => array ( 0 => 'chan',),
247 => array ( 0 => 'chan',),
248 => array ( 0 => 'chan',),
249 => array ( 0 => 'chan',),
250 => array ( 0 => 'chan',),
251 => array ( 0 => 'chan',),
252 => array ( 0 => 'chan',1 => 'zhan',),
253 => array ( 0 => 'chang',),
254 => array ( 0 => 'chang',),
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65 => array ( 0 => 'ying',),
66 => array ( 0 => 'zhou',),
67 => array ( 0 => 'jiao',),
68 => array ( 0 => 'zeng',),
69 => array ( 0 => 'yue',),
70 => array ( 0 => 'ba',),
71 => array ( 0 => 'ding',),
72 => array ( 0 => 'qi',),
73 => array ( 0 => 'zi',),
74 => array ( 0 => 'wu',),
75 => array ( 0 => 'zhe',),
76 => array ( 0 => 'ku',),
77 => array ( 0 => 'gang',1 => 'qiang',2 => 'kong',),
78 => array ( 0 => 'dan',),
79 => array ( 0 => 'jue',),
80 => array ( 0 => 'li',),
81 => array ( 0 => 'fu',),
82 => array ( 0 => 'min',),
83 => array ( 0 => 'e',),
84 => array ( 0 => 'kang',),
85 => array ( 0 => 'zhi',),
86 => array ( 0 => 'jie',),
87 => array ( 0 => 'pin',1 => 'bin',2 => 'fen',),
88 => array ( 0 => 'e',),
89 => array ( 0 => 'zhe',),
90 => array ( 0 => 'sui',),
91 => array ( 0 => 'wa',),
92 => array ( 0 => 'jin',),
93 => array ( 0 => 'mo',),
94 => array ( 0 => 'ju',),
95 => array ( 0 => 'yu',),
96 => array ( 0 => 'ke',1 => 'luo',),
97 => array ( 0 => 'tuo',),
98 => array ( 0 => 'e',),
99 => array ( 0 => 'mu',),
100 => array ( 0 => 'zhu',),
101 => array ( 0 => 'nu',),
102 => array ( 0 => 'ping',),
103 => array ( 0 => 'ling',),
104 => array ( 0 => 'pao',),
105 => array ( 0 => 'le',),
106 => array ( 0 => 'bo',),
107 => array ( 0 => 'po',),
108 => array ( 0 => 'yong',),
109 => array ( 0 => 'kuang',),
110 => array ( 0 => 'keng',),
111 => array ( 0 => 'quan',),
112 => array ( 0 => 'zhu',),
113 => array ( 0 => 'kuang',1 => 'guang',),
114 => array ( 0 => 'e',),
115 => array ( 0 => 'qia',),
116 => array ( 0 => 'lu',),
117 => array ( 0 => 'wei',1 => 'gui',),
118 => array ( 0 => 'ai',),
119 => array ( 0 => 'ken',1 => 'xian',2 => 'gun',3 => 'yin',),
120 => array ( 0 => 'yan',),
121 => array ( 0 => 'peng',1 => 'ping',),
122 => array ( 0 => 'lBo',),
123 => array ( 0 => 'hong',),
124 => array ( 0 => 'qing',),
125 => array ( 0 => 'wei',1 => 'ai',2 => 'gai',),
126 => array ( 0 => 'qiao',),
128 => array ( 0 => 'ce o ke',),
129 => array ( 0 => 'keng',),
130 => array ( 0 => 'que',1 => 'ke',2 => 'ku',),
131 => array ( 0 => 'chan',),
132 => array ( 0 => 'lang',),
133 => array ( 0 => 'hong',),
134 => array ( 0 => 'yu',),
135 => array ( 0 => 'xiao',),
136 => array ( 0 => 'xia',),
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138 => array ( 0 => 'luo',1 => 'long',),
139 => array ( 0 => 'yong',1 => 'tong',),
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141 => array ( 0 => 'che',),
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143 => array ( 0 => 'sha',),
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146 => array ( 0 => 'ze xi',),
147 => array ( 0 => 'huB',),
148 => array ( 0 => 'lu',),
149 => array ( 0 => 'chen',),
150 => array ( 0 => 'n<e',),
151 => array ( 0 => 'song',),
152 => array ( 0 => 'zhuo',),
153 => array ( 0 => 'keng',),
154 => array ( 0 => 'yan',),
155 => array ( 0 => 'zhui',1 => 'chui',2 => 'duo',),
156 => array ( 0 => 'kong',),
157 => array ( 0 => 'cheng',),
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160 => array ( 0 => 'qing',),
161 => array ( 0 => 'chang',),
162 => array ( 0 => 'chang',),
163 => array ( 0 => 'chang',),
164 => array ( 0 => 'chang',),
165 => array ( 0 => 'chang',),
166 => array ( 0 => 'chang',),
167 => array ( 0 => 'chang',1 => 'an',2 => 'han',),
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169 => array ( 0 => 'chang',),
170 => array ( 0 => 'chang',),
171 => array ( 0 => 'chang',),
172 => array ( 0 => 'chao',),
173 => array ( 0 => 'chao',),
174 => array ( 0 => 'chao',),
175 => array ( 0 => 'zhao',1 => 'chao',),
176 => array ( 0 => 'chao',1 => 'zhao',),
177 => array ( 0 => 'chao',),
178 => array ( 0 => 'chao',),
179 => array ( 0 => 'chao',),
180 => array ( 0 => 'chao',),
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199 => array ( 0 => 'cheng',),
200 => array ( 0 => 'cheng',),
201 => array ( 0 => 'cheng',),
202 => array ( 0 => 'cheng',),
203 => array ( 0 => 'cheng',1 => 'sheng',),
204 => array ( 0 => 'cheng',),
205 => array ( 0 => 'cheng',),
206 => array ( 0 => 'cheng',1 => 'deng',),
207 => array ( 0 => 'cheng',),
208 => array ( 0 => 'cheng',),
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210 => array ( 0 => 'cheng',),
211 => array ( 0 => 'cheng',),
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216 => array ( 0 => 'chi',),
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219 => array ( 0 => 'chi',),
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224 => array ( 0 => 'chi',),
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237 => array ( 0 => 'chou',),
238 => array ( 0 => 'chou',),
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241 => array ( 0 => 'chou',),
242 => array ( 0 => 'chou',),
243 => array ( 0 => 'chou',),
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245 => array ( 0 => 'chu',),
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250 => array ( 0 => 'chu',),
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252 => array ( 0 => 'chu',),
253 => array ( 0 => 'chu',),
254 => array ( 0 => 'chu',),
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65 => array ( 0 => 'jun',),
66 => array ( 0 => 'bo',),
67 => array ( 0 => 'min',),
68 => array ( 0 => 'jian',1 => 'zhan',),
69 => array ( 0 => 'he',),
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71 => array ( 0 => 'leng',),
72 => array ( 0 => 'yin',),
73 => array ( 0 => 'wu',),
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90 => array ( 0 => 'nao',),
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93 => array ( 0 => 'dun',),
94 => array ( 0 => 'feng',),
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100 => array ( 0 => 'e',),
101 => array ( 0 => 'liu',),
102 => array ( 0 => 'si',1 => 'ti',),
103 => array ( 0 => 'tang',),
104 => array ( 0 => 'hua',1 => 'ke',2 => 'gu',),
105 => array ( 0 => 'pi',),
106 => array ( 0 => 'kui',1 => 'wei',),
107 => array ( 0 => 'tian',),
108 => array ( 0 => 'xia',1 => 'qia',2 => 'ya',),
109 => array ( 0 => 'xi',),
110 => array ( 0 => 'lian',1 => 'qian',),
111 => array ( 0 => 'wei',1 => 'ai',2 => 'gai',),
112 => array ( 0 => 'yun',),
113 => array ( 0 => 'dui',),
114 => array ( 0 => 'la',),
115 => array ( 0 => 'zhuan',),
116 => array ( 0 => 'yao',),
117 => array ( 0 => 'zhuan',),
118 => array ( 0 => 'chan',),
119 => array ( 0 => 'qi',),
120 => array ( 0 => 'ao',1 => 'qiao',),
121 => array ( 0 => 'peng',),
122 => array ( 0 => 'liu',),
123 => array ( 0 => 'lu',),
124 => array ( 0 => 'kan',),
125 => array ( 0 => 'chuang',),
126 => array ( 0 => 'chen',),
128 => array ( 0 => 'yin',),
129 => array ( 0 => 'lei',),
130 => array ( 0 => 'biao',),
131 => array ( 0 => 'qi',),
132 => array ( 0 => 'qi',1 => 'zhu',),
133 => array ( 0 => 'cui',),
134 => array ( 0 => 'zong',),
135 => array ( 0 => 'chuo',),
136 => array ( 0 => 'lun',),
137 => array ( 0 => 'ji',),
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140 => array ( 0 => 'zeng',),
141 => array ( 0 => 'jian',),
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149 => array ( 0 => 'li',),
150 => array ( 0 => 'jian',),
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152 => array ( 0 => 'zhang',),
153 => array ( 0 => 'qiao',),
154 => array ( 0 => 'jian',),
155 => array ( 0 => 'yu',),
156 => array ( 0 => 'zhui',),
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158 => array ( 0 => 'ke',1 => 'huo',),
159 => array ( 0 => 'ze',),
160 => array ( 0 => 'lei',),
161 => array ( 0 => 'chu',),
162 => array ( 0 => 'chu',),
163 => array ( 0 => 'chu',),
164 => array ( 0 => 'chu',),
165 => array ( 0 => 'chu',),
166 => array ( 0 => 'chu',),
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168 => array ( 0 => 'chuan',),
169 => array ( 0 => 'chuan',),
170 => array ( 0 => 'chuan',),
171 => array ( 0 => 'chuan',1 => 'zhuan',),
172 => array ( 0 => 'chuan',),
173 => array ( 0 => 'chuan',),
174 => array ( 0 => 'chuan',),
175 => array ( 0 => 'chuang',),
176 => array ( 0 => 'chuang',),
177 => array ( 0 => 'chuang',1 => 'zhuang',),
178 => array ( 0 => 'chuang',),
179 => array ( 0 => 'chuang',),
180 => array ( 0 => 'chuang',),
181 => array ( 0 => 'chui',),
182 => array ( 0 => 'chui',),
183 => array ( 0 => 'chui',),
184 => array ( 0 => 'chui',),
185 => array ( 0 => 'chui',),
186 => array ( 0 => 'chun',),
187 => array ( 0 => 'chun',),
188 => array ( 0 => 'chun',),
189 => array ( 0 => 'chun',),
190 => array ( 0 => 'chun',1 => 'zhun',),
191 => array ( 0 => 'chun',),
192 => array ( 0 => 'chun',),
193 => array ( 0 => 'chuo',),
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197 => array ( 0 => 'ci',),
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200 => array ( 0 => 'ci',),
201 => array ( 0 => 'ci',),
202 => array ( 0 => 'ci',),
203 => array ( 0 => 'ci',),
204 => array ( 0 => 'ci',),
205 => array ( 0 => 'ci',),
206 => array ( 0 => 'ci',),
207 => array ( 0 => 'cong',),
208 => array ( 0 => 'cong',),
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210 => array ( 0 => 'cong',),
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212 => array ( 0 => 'cong',),
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214 => array ( 0 => 'cu',),
215 => array ( 0 => 'cu',),
216 => array ( 0 => 'cu',),
217 => array ( 0 => 'cu',),
218 => array ( 0 => 'cuan',),
219 => array ( 0 => 'cuan',),
220 => array ( 0 => 'cuan',),
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222 => array ( 0 => 'cui',),
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225 => array ( 0 => 'cui',),
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235 => array ( 0 => 'cuo',),
236 => array ( 0 => 'cuo',),
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240 => array ( 0 => 'da',),
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242 => array ( 0 => 'da',),
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246 => array ( 0 => 'dai',),
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252 => array ( 0 => 'dai',),
253 => array ( 0 => 'dai',),
254 => array ( 0 => 'dai',),
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86 => array ( 0 => 'kuang',),
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101 => array ( 0 => 'guan',),
102 => array ( 0 => 'jian',),
103 => array ( 0 => 'ca',),
104 => array ( 0 => 'yan',),
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106 => array ( 0 => 'yue',),
107 => array ( 0 => 'ta',),
108 => array ( 0 => 'ma',),
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110 => array ( 0 => 'yao',),
111 => array ( 0 => 'zhi',1 => 'qi',),
112 => array ( 0 => 'beng',1 => 'fang',),
113 => array ( 0 => 'dui',),
114 => array ( 0 => 'zhong',),
115 => array ( 0 => 'ren',),
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120 => array ( 0 => 'tiao',),
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123 => array ( 0 => 'suan',),
124 => array ( 0 => 'mei',),
125 => array ( 0 => 'chai',),
126 => array ( 0 => 'lv',),
128 => array ( 0 => 'yu',),
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130 => array ( 0 => 'zhu',),
131 => array ( 0 => 'gui',),
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148 => array ( 0 => 'dao',),
149 => array ( 0 => 'zhi',),
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152 => array ( 0 => 'hui',),
153 => array ( 0 => 'you',1 => 'chao',),
154 => array ( 0 => 'yin',),
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253 => array ( 0 => 'geng',),
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153 => array ( 0 => 'wu',),
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162 => array ( 0 => 'geng',),
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160 => array ( 0 => 'ting',),
161 => array ( 0 => 'long',),
162 => array ( 0 => 'long',),
163 => array ( 0 => 'long',),
164 => array ( 0 => 'long',),
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167 => array ( 0 => 'lou',),
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203 => array ( 0 => 'lv',),
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206 => array ( 0 => 'luan',),
207 => array ( 0 => 'luan',),
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211 => array ( 0 => 'l<e',),
212 => array ( 0 => 'l<e',),
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214 => array ( 0 => 'lun',),
215 => array ( 0 => 'lun',),
216 => array ( 0 => 'lun',),
217 => array ( 0 => 'lun',),
218 => array ( 0 => 'lun',1 => 'guan',),
219 => array ( 0 => 'lun',),
220 => array ( 0 => 'luo',),
221 => array ( 0 => 'luo',),
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234 => array ( 0 => 'ma',),
235 => array ( 0 => 'ma',),
236 => array ( 0 => 'ma',),
237 => array ( 0 => 'ma',),
238 => array ( 0 => 'ma',),
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241 => array ( 0 => 'mai',1 => 'man',),
242 => array ( 0 => 'mai',),
243 => array ( 0 => 'mai',),
244 => array ( 0 => 'mai',),
245 => array ( 0 => 'mai',),
246 => array ( 0 => 'mai',),
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248 => array ( 0 => 'man',),
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250 => array ( 0 => 'man',),
251 => array ( 0 => 'wan',),
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253 => array ( 0 => 'man',),
254 => array ( 0 => 'man',),
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65 => array ( 0 => 'zhao',),
66 => array ( 0 => 'si',),
67 => array ( 0 => 'su',),
68 => array ( 0 => 'zhao',),
69 => array ( 0 => 'yi',),
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72 => array ( 0 => 'cao',),
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79 => array ( 0 => 'yuan',),
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82 => array ( 0 => 'ban',),
83 => array ( 0 => 'pei',),
84 => array ( 0 => 'pang',1 => 'pan',),
85 => array ( 0 => 'you',),
86 => array ( 0 => 'ran',),
87 => array ( 0 => 'wen',),
88 => array ( 0 => 'qi',),
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91 => array ( 0 => 'xi',),
92 => array ( 0 => 'ken',),
93 => array ( 0 => 'die',),
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95 => array ( 0 => 'ba',),
96 => array ( 0 => 'bo',),
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99 => array ( 0 => 'zi',1 => 'fei',),
100 => array ( 0 => 'fei',1 => 'ku',),
101 => array ( 0 => 'zhi',),
102 => array ( 0 => 'ni',),
103 => array ( 0 => 'ping',1 => 'peng',),
104 => array ( 0 => 'zi',),
105 => array ( 0 => 'fu',1 => 'zhou',),
106 => array ( 0 => 'xian',),
107 => array ( 0 => 'mu',),
108 => array ( 0 => 'qu',),
109 => array ( 0 => 'qia',),
110 => array ( 0 => 'chi',),
111 => array ( 0 => 'yang',),
112 => array ( 0 => 'pang',),
113 => array ( 0 => 'chi',),
114 => array ( 0 => 'xiong',),
115 => array ( 0 => 'er',),
116 => array ( 0 => 'heng',),
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119 => array ( 0 => 'zheng',),
120 => array ( 0 => 'tiao',),
121 => array ( 0 => 'cui',),
122 => array ( 0 => 'mei',),
123 => array ( 0 => 'xie',),
124 => array ( 0 => 'xie',),
125 => array ( 0 => 'mai',),
126 => array ( 0 => 'xie',),
128 => array ( 0 => 'nin',),
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131 => array ( 0 => 'xiu',),
132 => array ( 0 => 'jing',),
133 => array ( 0 => 'rou',),
134 => array ( 0 => 'heng',),
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148 => array ( 0 => 'cheng',),
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150 => array ( 0 => 'dou',),
151 => array ( 0 => 'nao',),
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153 => array ( 0 => 'gu',),
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156 => array ( 0 => 'cui',),
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159 => array ( 0 => 'shui',),
160 => array ( 0 => 'biao',),
161 => array ( 0 => 'man',),
162 => array ( 0 => 'mang',),
163 => array ( 0 => 'mang',),
164 => array ( 0 => 'mang',),
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166 => array ( 0 => 'mang',),
167 => array ( 0 => 'mang',),
168 => array ( 0 => 'mao',),
169 => array ( 0 => 'mao',),
170 => array ( 0 => 'mao',),
171 => array ( 0 => 'mao',),
172 => array ( 0 => 'mao',),
173 => array ( 0 => 'mao',),
174 => array ( 0 => 'mao',),
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176 => array ( 0 => 'mao',1 => 'mo',),
177 => array ( 0 => 'mao',),
178 => array ( 0 => 'mao',),
179 => array ( 0 => 'mao',),
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183 => array ( 0 => 'mei',),
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188 => array ( 0 => 'mei',),
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195 => array ( 0 => 'mei',),
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210 => array ( 0 => 'mi',),
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218 => array ( 0 => 'mi',1 => 'bi',),
219 => array ( 0 => 'mi',),
220 => array ( 0 => 'mi',),
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223 => array ( 0 => 'mian',),
224 => array ( 0 => 'mian',),
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252 => array ( 0 => 'ming',),
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254 => array ( 0 => 'mo',),
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102 => array ( 0 => 'shou',),
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111 => array ( 0 => 'lv',),
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113 => array ( 0 => 'chang',),
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116 => array ( 0 => 'pang',),
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118 => array ( 0 => 'jiang',),
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123 => array ( 0 => 'ying',),
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125 => array ( 0 => 'xue',),
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128 => array ( 0 => 'tong',),
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132 => array ( 0 => 'kui',),
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134 => array ( 0 => 'teng',),
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136 => array ( 0 => 'zhi',),
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152 => array ( 0 => 'lian',),
153 => array ( 0 => 'tun',),
154 => array ( 0 => 'qi',),
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156 => array ( 0 => 'bin',),
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160 => array ( 0 => 'zang',),
161 => array ( 0 => 'mo',),
162 => array ( 0 => 'mo',),
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164 => array ( 0 => 'mo',),
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175 => array ( 0 => 'mo',),
176 => array ( 0 => 'mo',),
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198 => array ( 0 => 'na',),
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200 => array ( 0 => 'na',1 => 'nuo',),
201 => array ( 0 => 'na',),
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206 => array ( 0 => 'nai',),
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210 => array ( 0 => 'nang',),
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212 => array ( 0 => 'nao',),
213 => array ( 0 => 'nao',),
214 => array ( 0 => 'nao',),
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217 => array ( 0 => 'nei',),
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219 => array ( 0 => 'nen',),
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254 => array ( 0 => 'ning',),
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111 => array ( 0 => 'guan',),
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213 => array ( 0 => 'pang',),
214 => array ( 0 => 'pang',1 => 'pan',),
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216 => array ( 0 => 'pao',),
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218 => array ( 0 => 'pao',1 => 'bao',),
219 => array ( 0 => 'pao',),
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68 => array ( 0 => 'jian',),
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72 => array ( 0 => 'cao',),
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75 => array ( 0 => 'tiao',),
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100 => array ( 0 => 'mao',),
101 => array ( 0 => 'reng',),
102 => array ( 0 => 'hang',),
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104 => array ( 0 => 'you',),
105 => array ( 0 => 'yi',),
106 => array ( 0 => 'su sa',),
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108 => array ( 0 => 'di',1 => 'ti',),
109 => array ( 0 => 'di',),
110 => array ( 0 => 'li',1 => 'ji',),
111 => array ( 0 => 'yong',),
112 => array ( 0 => 'bei',),
113 => array ( 0 => 'yi',),
114 => array ( 0 => 'zhu',1 => 'ning',),
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116 => array ( 0 => 'pa',1 => 'bo',),
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118 => array ( 0 => 'xiu',),
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120 => array ( 0 => 'xian',),
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245 => array ( 0 => 'ruo',),
246 => array ( 0 => 'sa',),
247 => array ( 0 => 'sa',1 => 'xi',),
248 => array ( 0 => 'sa',),
249 => array ( 0 => 'sai',),
250 => array ( 0 => 'sai',1 => 'xi',),
251 => array ( 0 => 'sai',1 => 'se',),
252 => array ( 0 => 'sai',),
253 => array ( 0 => 'san',),
254 => array ( 0 => 'san',),
),
201 => array (
64 => array ( 0 => 'yao',),
65 => array ( 0 => 'yuan',),
66 => array ( 0 => 'mei',),
67 => array ( 0 => 'yun',),
68 => array ( 0 => 'shu',),
69 => array ( 0 => 'zhuan',),
70 => array ( 0 => 'guan',),
71 => array ( 0 => 'su ku mo',),
72 => array ( 0 => 'xue',),
73 => array ( 0 => 'uu',),
74 => array ( 0 => 'wei',),
75 => array ( 0 => 'yong',),
76 => array ( 0 => 'sou',),
77 => array ( 0 => 'yin',),
78 => array ( 0 => 'shi',),
79 => array ( 0 => 'chun',),
80 => array ( 0 => 'shi',),
81 => array ( 0 => 'yun',),
82 => array ( 0 => 'zhen',),
83 => array ( 0 => 'ru',1 => 'na',),
84 => array ( 0 => 'li',),
85 => array ( 0 => 'que',),
86 => array ( 0 => 'yuan',1 => 'huan',),
87 => array ( 0 => 'li',),
88 => array ( 0 => 'ju',),
89 => array ( 0 => 'xi',),
90 => array ( 0 => 'chu',),
91 => array ( 0 => 'xu',1 => 'shu',),
92 => array ( 0 => 'tu',),
93 => array ( 0 => 'liu',),
94 => array ( 0 => 'huo',),
95 => array ( 0 => 'dian',),
96 => array ( 0 => 'qian',),
97 => array ( 0 => 'zu',1 => 'ju',),
98 => array ( 0 => 'po',),
99 => array ( 0 => 'cuo',),
100 => array ( 0 => 'yuan',),
101 => array ( 0 => 'chu',),
102 => array ( 0 => 'yu',),
103 => array ( 0 => 'pan',),
104 => array ( 0 => 'pu',),
105 => array ( 0 => 'na',),
106 => array ( 0 => 'xi',),
107 => array ( 0 => 'fen',),
108 => array ( 0 => 'yun',),
109 => array ( 0 => 'ruo',),
110 => array ( 0 => 'cang',),
111 => array ( 0 => 'mi',),
112 => array ( 0 => 'sun',),
113 => array ( 0 => 'ming',),
114 => array ( 0 => 'sou',),
115 => array ( 0 => 'liu',),
116 => array ( 0 => 'xi',),
117 => array ( 0 => 'gu',),
118 => array ( 0 => 'lang',),
119 => array ( 0 => 'gai',1 => 'ge',2 => 'he',),
120 => array ( 0 => 'cuo',),
121 => array ( 0 => 'tang',),
122 => array ( 0 => 'luo',),
123 => array ( 0 => 'xuan',),
124 => array ( 0 => 'yao',1 => 'zhuo',),
125 => array ( 0 => 'gui',),
126 => array ( 0 => 'zong',),
128 => array ( 0 => 'gun',),
129 => array ( 0 => 'go zha',),
130 => array ( 0 => 'tiao',),
131 => array ( 0 => 'ce',),
132 => array ( 0 => 'pei',),
133 => array ( 0 => 'dan',),
134 => array ( 0 => 'shen',),
135 => array ( 0 => 'lang',),
136 => array ( 0 => 'ling',),
137 => array ( 0 => 'diao',1 => 'tiao',2 => 'di',),
138 => array ( 0 => 'tiao',),
139 => array ( 0 => 'mao',),
140 => array ( 0 => 'tong',),
141 => array ( 0 => 'zhu',),
142 => array ( 0 => 'an',),
143 => array ( 0 => 'lian',),
144 => array ( 0 => 'cong',),
145 => array ( 0 => 'ping',),
146 => array ( 0 => 'qiu',1 => 'xu',2 => 'fu',),
147 => array ( 0 => 'jin',),
148 => array ( 0 => 'chun',),
149 => array ( 0 => 'jie',),
150 => array ( 0 => 'wei',),
151 => array ( 0 => 'tui',),
152 => array ( 0 => 'cao',),
153 => array ( 0 => 'yu',),
154 => array ( 0 => 'yi',),
155 => array ( 0 => 'zi',1 => 'ju',),
156 => array ( 0 => 'bi',),
157 => array ( 0 => 'lu',),
158 => array ( 0 => 'bu',),
159 => array ( 0 => 'zhang',),
160 => array ( 0 => 'lei',),
161 => array ( 0 => 'san',),
162 => array ( 0 => 'san',),
163 => array ( 0 => 'sang',),
164 => array ( 0 => 'sang',),
165 => array ( 0 => 'sang',),
166 => array ( 0 => 'sao',),
167 => array ( 0 => 'sao',),
168 => array ( 0 => 'sao',),
169 => array ( 0 => 'sao',),
170 => array ( 0 => 'se',),
171 => array ( 0 => 'se',),
172 => array ( 0 => 'se',),
173 => array ( 0 => 'sen',),
174 => array ( 0 => 'seng',),
175 => array ( 0 => 'suo',1 => 'sha',),
176 => array ( 0 => 'sha',),
177 => array ( 0 => 'sha',),
178 => array ( 0 => 'cha',1 => 'sha',),
179 => array ( 0 => 'sha',),
180 => array ( 0 => 'sha',),
181 => array ( 0 => 'sha',),
182 => array ( 0 => 'sha',),
183 => array ( 0 => 'sha',),
184 => array ( 0 => 'shai',),
185 => array ( 0 => 'shai',),
186 => array ( 0 => 'shan',),
187 => array ( 0 => 'shan',),
188 => array ( 0 => 'shan',1 => 'sha',),
189 => array ( 0 => 'shan',),
190 => array ( 0 => 'shan',),
191 => array ( 0 => 'shan',),
192 => array ( 0 => 'shan',),
193 => array ( 0 => 'shan',),
194 => array ( 0 => 'shan',),
195 => array ( 0 => 'shan',),
196 => array ( 0 => 'shan',),
197 => array ( 0 => 'shan',),
198 => array ( 0 => 'shan',),
199 => array ( 0 => 'shan',),
200 => array ( 0 => 'shan',),
201 => array ( 0 => 'shan',),
202 => array ( 0 => 'shang',),
203 => array ( 0 => 'shang',),
204 => array ( 0 => 'shang',),
205 => array ( 0 => 'shang',),
206 => array ( 0 => 'shang',),
207 => array ( 0 => 'shang',),
208 => array ( 0 => 'shang',),
209 => array ( 0 => 'chang',1 => 'shBng',),
210 => array ( 0 => 'shao',1 => 'sao',),
211 => array ( 0 => 'shao',),
212 => array ( 0 => 'shao',),
213 => array ( 0 => 'shao',),
214 => array ( 0 => 'shao',),
215 => array ( 0 => 'shao',),
216 => array ( 0 => 'shao',),
217 => array ( 0 => 'shao',),
218 => array ( 0 => 'shao',),
219 => array ( 0 => 'shao',),
220 => array ( 0 => 'shao',),
221 => array ( 0 => 'she',),
222 => array ( 0 => 'she',),
223 => array ( 0 => 'she',1 => 'yi',),
224 => array ( 0 => 'she',),
225 => array ( 0 => 'she',),
226 => array ( 0 => 'she',),
227 => array ( 0 => 'she',1 => 'nie',),
228 => array ( 0 => 'she',1 => 'ye',2 => 'yi',),
229 => array ( 0 => 'she',),
230 => array ( 0 => 'she',),
231 => array ( 0 => 'she',),
232 => array ( 0 => 'she',),
233 => array ( 0 => 'shen',),
234 => array ( 0 => 'shen',),
235 => array ( 0 => 'shen',),
236 => array ( 0 => 'shen',),
237 => array ( 0 => 'shen',),
238 => array ( 0 => 'shen',),
239 => array ( 0 => 'shen',),
240 => array ( 0 => 'shen',),
241 => array ( 0 => 'shen',),
242 => array ( 0 => 'shen',1 => 'chen',),
243 => array ( 0 => 'shen',),
244 => array ( 0 => 'shen',),
245 => array ( 0 => 'shen',),
246 => array ( 0 => 'shen',),
247 => array ( 0 => 'shen',),
248 => array ( 0 => 'shen',),
249 => array ( 0 => 'sheng',),
250 => array ( 0 => 'sheng',),
251 => array ( 0 => 'sheng',),
252 => array ( 0 => 'sheng',),
253 => array ( 0 => 'sheng',),
254 => array ( 0 => 'sheng',),
),
202 => array (
64 => array ( 0 => 'qiang',),
65 => array ( 0 => 'man',),
66 => array ( 0 => 'yan',),
67 => array ( 0 => 'ling',),
68 => array ( 0 => 'ji',),
69 => array ( 0 => 'biao',),
70 => array ( 0 => 'gun',),
71 => array ( 0 => 'han',),
72 => array ( 0 => 'di',),
73 => array ( 0 => 'lu',),
74 => array ( 0 => 'she',),
75 => array ( 0 => 'shang',),
76 => array ( 0 => 'di',),
77 => array ( 0 => 'hun',),
78 => array ( 0 => 'bo',),
79 => array ( 0 => 'di',),
80 => array ( 0 => 'cuo',),
81 => array ( 0 => 'shen',),
82 => array ( 0 => 'xuan',),
83 => array ( 0 => 'hu',),
84 => array ( 0 => 'ao',),
85 => array ( 0 => 'mi',),
86 => array ( 0 => 'lou',),
87 => array ( 0 => 'zhong',),
88 => array ( 0 => 'po',),
89 => array ( 0 => 'jiang',),
90 => array ( 0 => 'mi',),
91 => array ( 0 => 'cong',),
92 => array ( 0 => 'niao',),
93 => array ( 0 => 'hui',),
94 => array ( 0 => 'juan',),
95 => array ( 0 => 'yin',),
96 => array ( 0 => 'jian',),
97 => array ( 0 => 'yin',),
98 => array ( 0 => 'guo',),
99 => array ( 0 => 'chen',),
100 => array ( 0 => 'hu',),
101 => array ( 0 => 'sha',),
102 => array ( 0 => 'kou',),
103 => array ( 0 => 'qian',),
104 => array ( 0 => 'ma',),
105 => array ( 0 => 'zang',),
106 => array ( 0 => 'ze',),
107 => array ( 0 => 'li',),
108 => array ( 0 => 'wei',),
109 => array ( 0 => 'ji',),
110 => array ( 0 => 'qian',),
111 => array ( 0 => 'sheng',),
112 => array ( 0 => 'meng',),
113 => array ( 0 => 'ou',),
114 => array ( 0 => 'chan',),
115 => array ( 0 => 'dian',),
116 => array ( 0 => 'rui',),
117 => array ( 0 => 'lei',),
118 => array ( 0 => 'yu',),
119 => array ( 0 => 'qiao',),
120 => array ( 0 => 'zhu',),
121 => array ( 0 => 'hua',),
122 => array ( 0 => 'jian',),
123 => array ( 0 => 'mBi',),
124 => array ( 0 => 'yun',),
125 => array ( 0 => 'bao',),
126 => array ( 0 => 'you',),
128 => array ( 0 => 'lu',),
129 => array ( 0 => 'rao',),
130 => array ( 0 => 'e',),
131 => array ( 0 => 'ti',),
132 => array ( 0 => 'fei',),
133 => array ( 0 => 'jue',),
134 => array ( 0 => 'fa',),
135 => array ( 0 => 'ru',),
136 => array ( 0 => 'fen',),
137 => array ( 0 => 'kui',),
138 => array ( 0 => 'shun',),
139 => array ( 0 => 'ya',),
140 => array ( 0 => 'xu',),
141 => array ( 0 => 'fu',),
142 => array ( 0 => 'dang',),
143 => array ( 0 => 'wu',),
144 => array ( 0 => 'dong',),
145 => array ( 0 => 'si',),
146 => array ( 0 => 'xiao',),
147 => array ( 0 => 'xi',),
148 => array ( 0 => 'sa',),
149 => array ( 0 => 'yun',),
150 => array ( 0 => 'shBo',),
151 => array ( 0 => 'jian',),
152 => array ( 0 => 'sun',),
153 => array ( 0 => 'ling',),
154 => array ( 0 => 'yu',),
155 => array ( 0 => 'xia',),
156 => array ( 0 => 'si',),
157 => array ( 0 => 'nong',),
158 => array ( 0 => 'xuan',),
159 => array ( 0 => 'yun',),
160 => array ( 0 => 'yu',),
161 => array ( 0 => 'sheng',1 => 'xing',),
162 => array ( 0 => 'sheng',1 => 'cheng',),
163 => array ( 0 => 'sheng',),
164 => array ( 0 => 'sheng',),
165 => array ( 0 => 'sheng',),
166 => array ( 0 => 'shi',),
167 => array ( 0 => 'shi',),
168 => array ( 0 => 'shi',),
169 => array ( 0 => 'shi',),
170 => array ( 0 => 'shi',),
171 => array ( 0 => 'shi',),
172 => array ( 0 => 'shi',),
173 => array ( 0 => 'shi',),
174 => array ( 0 => 'shi',),
175 => array ( 0 => 'shi',1 => 'dan',),
176 => array ( 0 => 'shi',1 => 'she',),
177 => array ( 0 => 'shi',),
178 => array ( 0 => 'shi',1 => 'shen',),
179 => array ( 0 => 'shi',1 => 'si',2 => 'yi',),
180 => array ( 0 => 'shi',),
181 => array ( 0 => 'shi',),
182 => array ( 0 => 'shi',1 => 'zhi',),
183 => array ( 0 => 'shi',),
184 => array ( 0 => 'shi',),
185 => array ( 0 => 'shi',),
186 => array ( 0 => 'shi',),
187 => array ( 0 => 'shi',),
188 => array ( 0 => 'shi',),
189 => array ( 0 => 'shi',),
190 => array ( 0 => 'shi',),
191 => array ( 0 => 'shi',),
192 => array ( 0 => 'shi',),
193 => array ( 0 => 'shi',),
194 => array ( 0 => 'shi',),
195 => array ( 0 => 'shi',),
196 => array ( 0 => 'shi',),
197 => array ( 0 => 'shi',),
198 => array ( 0 => 'shi',),
199 => array ( 0 => 'shi',),
200 => array ( 0 => 'shi',),
201 => array ( 0 => 'shi',),
202 => array ( 0 => 'shi',),
203 => array ( 0 => 'shi',),
204 => array ( 0 => 'shi',),
205 => array ( 0 => 'shi',),
206 => array ( 0 => 'shi',),
207 => array ( 0 => 'shi',1 => 'zhi',),
208 => array ( 0 => 'shi',),
209 => array ( 0 => 'shi',),
210 => array ( 0 => 'shi',),
211 => array ( 0 => 'shi',),
212 => array ( 0 => 'shi',),
213 => array ( 0 => 'shou',),
214 => array ( 0 => 'shou',),
215 => array ( 0 => 'shou',),
216 => array ( 0 => 'shou',),
217 => array ( 0 => 'shou',),
218 => array ( 0 => 'shou',),
219 => array ( 0 => 'shou',),
220 => array ( 0 => 'shou',),
221 => array ( 0 => 'shou',),
222 => array ( 0 => 'shou',),
223 => array ( 0 => 'shu',),
224 => array ( 0 => 'shu',),
225 => array ( 0 => 'shu',),
226 => array ( 0 => 'shu',),
227 => array ( 0 => 'shu',),
228 => array ( 0 => 'shu',),
229 => array ( 0 => 'shu',),
230 => array ( 0 => 'shu',),
231 => array ( 0 => 'shu',),
232 => array ( 0 => 'shu',),
233 => array ( 0 => 'shu',),
234 => array ( 0 => 'shu',),
235 => array ( 0 => 'shu',),
236 => array ( 0 => 'shu',),
237 => array ( 0 => 'shu',),
238 => array ( 0 => 'shu',),
239 => array ( 0 => 'shu',),
240 => array ( 0 => 'shu',),
241 => array ( 0 => 'shu',),
242 => array ( 0 => 'shu',),
243 => array ( 0 => 'shu',),
244 => array ( 0 => 'shu',1 => 'zhu',),
245 => array ( 0 => 'shu',1 => 'zhu',),
246 => array ( 0 => 'shu',),
247 => array ( 0 => 'shu',),
248 => array ( 0 => 'shu',),
249 => array ( 0 => 'shu',),
250 => array ( 0 => 'shu',),
251 => array ( 0 => 'shu',),
252 => array ( 0 => 'shu',),
253 => array ( 0 => 'shu',1 => 'shuo',),
254 => array ( 0 => 'shu',),
),
203 => array (
64 => array ( 0 => 'xi',1 => 'xiao',),
65 => array ( 0 => 'hao',),
66 => array ( 0 => 'ai',),
67 => array ( 0 => 'hui',),
68 => array ( 0 => 'hui',),
69 => array ( 0 => 'ji',),
70 => array ( 0 => 'ci',1 => 'zi',),
71 => array ( 0 => 'xiang',),
72 => array ( 0 => 'wan',1 => 'luan',),
73 => array ( 0 => 'mie',),
74 => array ( 0 => 'leng',),
75 => array ( 0 => 'jiang',),
76 => array ( 0 => 'can',),
77 => array ( 0 => 'shen',),
78 => array ( 0 => 'qiang',1 => 'se',),
79 => array ( 0 => 'lian',),
80 => array ( 0 => 'ke',),
81 => array ( 0 => 'yuan',),
82 => array ( 0 => 'da',),
83 => array ( 0 => 'ti',),
84 => array ( 0 => 'tang',),
85 => array ( 0 => 'zhan',),
86 => array ( 0 => 'sun',),
87 => array ( 0 => 'xian',1 => 'lian',),
88 => array ( 0 => 'fan',),
89 => array ( 0 => 'ding',),
90 => array ( 0 => 'xie',),
91 => array ( 0 => 'gu',),
92 => array ( 0 => 'shu',),
93 => array ( 0 => 'jian',),
94 => array ( 0 => 'hao',1 => 'kao',),
95 => array ( 0 => 'sa',),
96 => array ( 0 => 'xun',),
97 => array ( 0 => 'yao',),
98 => array ( 0 => 'bai',),
99 => array ( 0 => 'dui',),
100 => array ( 0 => 'pin',),
101 => array ( 0 => 'yuan',1 => 'wei',),
102 => array ( 0 => 'ning',),
103 => array ( 0 => 'chou',1 => 'zhou',),
104 => array ( 0 => 'mai',1 => 'wo',),
105 => array ( 0 => 'piao',),
106 => array ( 0 => 'ji',1 => 'qi',),
107 => array ( 0 => 'zao',),
108 => array ( 0 => 'chen',),
109 => array ( 0 => 'zhen',),
110 => array ( 0 => 'er',),
111 => array ( 0 => 'ni',),
112 => array ( 0 => 'ying',),
113 => array ( 0 => 'cong',),
114 => array ( 0 => 'xiao',1 => 'hao',),
115 => array ( 0 => 'qi',),
116 => array ( 0 => 'fa',),
117 => array ( 0 => 'jian',),
118 => array ( 0 => 'xu',1 => 'yu',),
119 => array ( 0 => 'kui',),
120 => array ( 0 => 'bian',),
121 => array ( 0 => 'diao',1 => 'zhuo',),
122 => array ( 0 => 'mi',),
123 => array ( 0 => 'lan',),
124 => array ( 0 => 'jin',),
125 => array ( 0 => 'qiong',),
126 => array ( 0 => 'qi',),
128 => array ( 0 => 'liao',),
129 => array ( 0 => 'xian',),
130 => array ( 0 => 'su',),
131 => array ( 0 => 'lv',),
132 => array ( 0 => 'yi',),
133 => array ( 0 => 'xu',),
134 => array ( 0 => 'xie',),
135 => array ( 0 => 'yi',),
136 => array ( 0 => 'la',),
137 => array ( 0 => 'lei',),
138 => array ( 0 => 'jiao',),
139 => array ( 0 => 'di',),
140 => array ( 0 => 'zhi',),
141 => array ( 0 => 'bei',),
142 => array ( 0 => 'yao',1 => 'yue',),
143 => array ( 0 => 'mo',),
144 => array ( 0 => 'huan',),
145 => array ( 0 => 'biao',1 => 'pao',),
146 => array ( 0 => 'sou',),
147 => array ( 0 => 'tan',),
148 => array ( 0 => 'tui',),
149 => array ( 0 => 'qiong',),
150 => array ( 0 => 'qiao',),
151 => array ( 0 => 'wei',),
152 => array ( 0 => 'liu',),
153 => array ( 0 => 'hui',),
154 => array ( 0 => 'ou',),
155 => array ( 0 => 'gao',),
156 => array ( 0 => 'yun',),
157 => array ( 0 => 'bBo',),
158 => array ( 0 => 'li',),
159 => array ( 0 => 'shu',),
160 => array ( 0 => 'zhu',1 => 'chu',),
161 => array ( 0 => 'shu',),
162 => array ( 0 => 'shua',),
163 => array ( 0 => 'shua',),
164 => array ( 0 => 'shuai',),
165 => array ( 0 => 'shuai',),
166 => array ( 0 => 'shuai',),
167 => array ( 0 => 'shuai',),
168 => array ( 0 => 'shuan',),
169 => array ( 0 => 'shuan',),
170 => array ( 0 => 'shuang',),
171 => array ( 0 => 'shuang',),
172 => array ( 0 => 'shuang',),
173 => array ( 0 => 'shui',),
174 => array ( 0 => 'shui',),
175 => array ( 0 => 'shui',),
176 => array ( 0 => 'shui',),
177 => array ( 0 => 'shun',),
178 => array ( 0 => 'shun',),
179 => array ( 0 => 'shun',),
180 => array ( 0 => 'shun',),
181 => array ( 0 => 'shuo',1 => 'shui',2 => 'yue',),
182 => array ( 0 => 'shuo',1 => 'shi',),
183 => array ( 0 => 'shuo',),
184 => array ( 0 => 'shuo',),
185 => array ( 0 => 'si',),
186 => array ( 0 => 'si',),
187 => array ( 0 => 'si',),
188 => array ( 0 => 'si',1 => 'sai',),
189 => array ( 0 => 'si',),
190 => array ( 0 => 'si',),
191 => array ( 0 => 'si',),
192 => array ( 0 => 'si',),
193 => array ( 0 => 'si',),
194 => array ( 0 => 'si',),
195 => array ( 0 => 'si',),
196 => array ( 0 => 'si',),
197 => array ( 0 => 'si',1 => 'ci',),
198 => array ( 0 => 'si',1 => 'shi',),
199 => array ( 0 => 'si',),
200 => array ( 0 => 'si',),
201 => array ( 0 => 'song',),
202 => array ( 0 => 'song',),
203 => array ( 0 => 'song',),
204 => array ( 0 => 'song',),
205 => array ( 0 => 'song',),
206 => array ( 0 => 'song',),
207 => array ( 0 => 'song',),
208 => array ( 0 => 'song',),
209 => array ( 0 => 'sou',),
210 => array ( 0 => 'sou',),
211 => array ( 0 => 'sou',),
212 => array ( 0 => 'sou',),
213 => array ( 0 => 'su',),
214 => array ( 0 => 'su',),
215 => array ( 0 => 'su',),
216 => array ( 0 => 'su',),
217 => array ( 0 => 'su',),
218 => array ( 0 => 'su',),
219 => array ( 0 => 'su',),
220 => array ( 0 => 'su',),
221 => array ( 0 => 'su',),
222 => array ( 0 => 'su',1 => 'xiu',),
223 => array ( 0 => 'su',),
224 => array ( 0 => 'su',),
225 => array ( 0 => 'suan',),
226 => array ( 0 => 'suan',),
227 => array ( 0 => 'suan',),
228 => array ( 0 => 'sui',),
229 => array ( 0 => 'sui',1 => 'duo',),
230 => array ( 0 => 'sui',),
231 => array ( 0 => 'sui',),
232 => array ( 0 => 'sui',),
233 => array ( 0 => 'sui',),
234 => array ( 0 => 'sui',),
235 => array ( 0 => 'sui',),
236 => array ( 0 => 'sui',),
237 => array ( 0 => 'sui',),
238 => array ( 0 => 'sui',),
239 => array ( 0 => 'sun',1 => 'xun',),
240 => array ( 0 => 'sun',),
241 => array ( 0 => 'sun',),
242 => array ( 0 => 'suo',),
243 => array ( 0 => 'suo',),
244 => array ( 0 => 'suo',),
245 => array ( 0 => 'suo',1 => 'su',),
246 => array ( 0 => 'suo',),
247 => array ( 0 => 'suo',),
248 => array ( 0 => 'suo',),
249 => array ( 0 => 'suo',),
250 => array ( 0 => 'ta',),
251 => array ( 0 => 'ta',),
252 => array ( 0 => 'ta',),
253 => array ( 0 => 'ta',1 => 'jie',),
254 => array ( 0 => 'ta',),
),
204 => array (
64 => array ( 0 => 'ai',),
65 => array ( 0 => 'lin',),
66 => array ( 0 => 'xuan',),
67 => array ( 0 => 'qin',),
68 => array ( 0 => 'lai',),
69 => array ( 0 => 'tuo',),
70 => array ( 0 => 'wu',),
71 => array ( 0 => 'rui',),
72 => array ( 0 => 'rui',),
73 => array ( 0 => 'qi',),
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78 => array ( 0 => 'yun',),
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82 => array ( 0 => 'ji',),
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84 => array ( 0 => 'xuan',),
85 => array ( 0 => 'qiu',),
86 => array ( 0 => 'su',),
87 => array ( 0 => 'jiong',),
88 => array ( 0 => 'peng',),
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90 => array ( 0 => 'rang',),
91 => array ( 0 => 'yi',),
92 => array ( 0 => 'xian',),
93 => array ( 0 => 'yu',),
94 => array ( 0 => 'ju',),
95 => array ( 0 => 'lian',),
96 => array ( 0 => 'lian',),
97 => array ( 0 => 'yin',),
98 => array ( 0 => 'qiang',),
99 => array ( 0 => 'ying',),
100 => array ( 0 => 'long',),
101 => array ( 0 => 'tou',),
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153 => array ( 0 => 'biao',),
154 => array ( 0 => 'yun',),
155 => array ( 0 => 'zeng',),
156 => array ( 0 => 'dan',),
157 => array ( 0 => 'zan',),
158 => array ( 0 => 'yan',),
159 => array ( 0 => 'pu',),
160 => array ( 0 => 'shan',),
161 => array ( 0 => 'tong',),
162 => array ( 0 => 'tuo',),
163 => array ( 0 => 'ni',),
164 => array ( 0 => 'qie',1 => 'jia',2 => 'ga',),
165 => array ( 0 => 'ji',),
166 => array ( 0 => 'er',1 => 'nai',),
167 => array ( 0 => 'you',),
168 => array ( 0 => 'kua',),
169 => array ( 0 => 'kan',),
170 => array ( 0 => 'zhu',),
171 => array ( 0 => 'yi',),
172 => array ( 0 => 'tiao',),
173 => array ( 0 => 'chai',),
174 => array ( 0 => 'jiao',),
175 => array ( 0 => 'nong',),
176 => array ( 0 => 'mou',),
177 => array ( 0 => 'chou',),
178 => array ( 0 => 'yan',),
179 => array ( 0 => 'li',),
180 => array ( 0 => 'qiu',),
181 => array ( 0 => 'li',),
182 => array ( 0 => 'yu',),
183 => array ( 0 => 'ping',),
184 => array ( 0 => 'yong',),
185 => array ( 0 => 'si',1 => 'qi',),
186 => array ( 0 => 'feng',),
187 => array ( 0 => 'qian',),
188 => array ( 0 => 'ruo',),
189 => array ( 0 => 'pai',),
190 => array ( 0 => 'zhuo',),
191 => array ( 0 => 'shu',),
192 => array ( 0 => 'luo',),
193 => array ( 0 => 'wo',1 => 'wei',),
194 => array ( 0 => 'bi',),
195 => array ( 0 => 'ti',),
196 => array ( 0 => 'guan',),
197 => array ( 0 => 'kong',),
198 => array ( 0 => 'ju',),
199 => array ( 0 => 'fen',),
200 => array ( 0 => 'yan',),
201 => array ( 0 => 'xie',),
202 => array ( 0 => 'ji',1 => 'jie',),
203 => array ( 0 => 'wei',),
204 => array ( 0 => 'zong',),
205 => array ( 0 => 'lv',1 => 'lou',),
206 => array ( 0 => 'tang',),
207 => array ( 0 => 'bin',),
208 => array ( 0 => 'nuo',),
209 => array ( 0 => 'chi',),
210 => array ( 0 => 'xi',),
211 => array ( 0 => 'jing',),
212 => array ( 0 => 'jian',),
213 => array ( 0 => 'jiao',),
214 => array ( 0 => 'jiu',),
215 => array ( 0 => 'tong',1 => 'zhuang',),
216 => array ( 0 => 'xuan',),
217 => array ( 0 => 'dan',),
218 => array ( 0 => 'tong',),
219 => array ( 0 => 'tun',),
220 => array ( 0 => 'she',),
221 => array ( 0 => 'qian',),
222 => array ( 0 => 'zu',),
223 => array ( 0 => 'yue',),
224 => array ( 0 => 'cuan',),
225 => array ( 0 => 'di',),
226 => array ( 0 => 'xi',),
227 => array ( 0 => 'xun',),
228 => array ( 0 => 'hong',),
229 => array ( 0 => 'guo',),
230 => array ( 0 => 'chan',),
231 => array ( 0 => 'kui',),
232 => array ( 0 => 'bao',),
233 => array ( 0 => 'pu',),
234 => array ( 0 => 'hong',),
235 => array ( 0 => 'fu',),
236 => array ( 0 => 'fu',),
237 => array ( 0 => 'su',),
238 => array ( 0 => 'si',),
239 => array ( 0 => 'tou',),
240 => array ( 0 => 'yan',),
241 => array ( 0 => 'bo',),
242 => array ( 0 => 'gun',),
243 => array ( 0 => 'mao',),
244 => array ( 0 => 'xie',),
245 => array ( 0 => 'luan',),
246 => array ( 0 => 'pou',),
247 => array ( 0 => 'bing',),
248 => array ( 0 => 'ying',),
249 => array ( 0 => 'luo',),
250 => array ( 0 => 'lei',),
251 => array ( 0 => 'bing',),
252 => array ( 0 => 'hu',),
253 => array ( 0 => 'lie',),
254 => array ( 0 => 'xian',),
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64 => array ( 0 => 'wan',),
65 => array ( 0 => 'ying',),
66 => array ( 0 => 'jin',),
67 => array ( 0 => 'gan',),
68 => array ( 0 => 'xian',),
69 => array ( 0 => 'zang',),
70 => array ( 0 => 'bi',),
71 => array ( 0 => 'du',),
72 => array ( 0 => 'shu',),
73 => array ( 0 => 'yan',),
74 => array ( 0 => 'shang',),
75 => array ( 0 => 'xuan',),
76 => array ( 0 => 'long',),
77 => array ( 0 => 'gan',),
78 => array ( 0 => 'zang',),
79 => array ( 0 => 'yuan',),
80 => array ( 0 => 'bi',),
81 => array ( 0 => 'zhou',),
82 => array ( 0 => 'feng',),
83 => array ( 0 => 'yun',),
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85 => array ( 0 => 'tong',),
86 => array ( 0 => 'xi',),
87 => array ( 0 => 'cheng',),
88 => array ( 0 => 'cheng',),
89 => array ( 0 => 'xia',),
90 => array ( 0 => 'tang',),
91 => array ( 0 => 'zou',),
92 => array ( 0 => 'li',),
93 => array ( 0 => 'shan',),
94 => array ( 0 => 'qiong',),
95 => array ( 0 => 'yin',),
96 => array ( 0 => 'xian',),
97 => array ( 0 => 'zi',),
98 => array ( 0 => 'jue',),
99 => array ( 0 => 'qin',),
100 => array ( 0 => 'chi',),
101 => array ( 0 => 'ci',),
102 => array ( 0 => 'chen',),
103 => array ( 0 => 'die',1 => 'tu',),
104 => array ( 0 => 'di',),
105 => array ( 0 => 'xi',),
106 => array ( 0 => 'zhan',),
107 => array ( 0 => 'jue',),
108 => array ( 0 => 'ji',1 => 'jie',),
109 => array ( 0 => 'qu',),
110 => array ( 0 => 'chu',),
111 => array ( 0 => 'gua',1 => 'huo',),
112 => array ( 0 => 'xue',),
113 => array ( 0 => 'tiao',),
114 => array ( 0 => 'duo',),
115 => array ( 0 => 'gan',),
116 => array ( 0 => 'suo',),
117 => array ( 0 => 'cu',),
118 => array ( 0 => 'xi',),
119 => array ( 0 => 'zhao',),
120 => array ( 0 => 'su',),
121 => array ( 0 => 'yin',),
122 => array ( 0 => 'ju',),
123 => array ( 0 => 'jian',),
124 => array ( 0 => 'que',1 => 'qi',2 => 'ji',),
125 => array ( 0 => 'chuo',),
126 => array ( 0 => 'cui',),
128 => array ( 0 => 'lu',),
129 => array ( 0 => 'dang',),
130 => array ( 0 => 'qiu',),
131 => array ( 0 => 'zi',),
132 => array ( 0 => 'ti',),
133 => array ( 0 => 'qu',1 => 'cu',),
134 => array ( 0 => 'chi',),
135 => array ( 0 => 'huang',),
136 => array ( 0 => 'qiao',),
137 => array ( 0 => 'qiao',),
138 => array ( 0 => 'jiao',),
139 => array ( 0 => 'zao',),
140 => array ( 0 => 'ti',1 => 'yue',),
141 => array ( 0 => 'er',),
142 => array ( 0 => 'zan',),
143 => array ( 0 => 'kua',1 => 'wu',),
144 => array ( 0 => 'ke',),
145 => array ( 0 => 'jue',1 => 'gui',),
146 => array ( 0 => 'chen',),
147 => array ( 0 => 'fang',1 => 'pang',),
148 => array ( 0 => 'yue',),
149 => array ( 0 => 'ba',1 => 'pao',),
150 => array ( 0 => 'qi',),
151 => array ( 0 => 'tuo',),
152 => array ( 0 => 'yi',),
153 => array ( 0 => 'jian',1 => 'chen',),
154 => array ( 0 => 'ling',),
155 => array ( 0 => 'mei',),
156 => array ( 0 => 'ku',),
157 => array ( 0 => 'ci',),
158 => array ( 0 => 'qia',),
159 => array ( 0 => 'zhu',),
160 => array ( 0 => 'ju',),
161 => array ( 0 => 'song',),
162 => array ( 0 => 'mi',),
163 => array ( 0 => 'zhong',),
164 => array ( 0 => 'ming',),
165 => array ( 0 => 'yan',),
166 => array ( 0 => 'jie',),
167 => array ( 0 => 'hong',),
168 => array ( 0 => 'shan',),
169 => array ( 0 => 'ou',),
170 => array ( 0 => 'ju',),
171 => array ( 0 => 'ne',),
172 => array ( 0 => 'gu',),
173 => array ( 0 => 'he',),
174 => array ( 0 => 'di',),
175 => array ( 0 => 'zhao',),
176 => array ( 0 => 'qu',),
177 => array ( 0 => 'yi',1 => 'dai',),
178 => array ( 0 => 'kuang',),
179 => array ( 0 => 'lei',),
180 => array ( 0 => 'gua',),
181 => array ( 0 => 'jie',1 => 'ji',),
182 => array ( 0 => 'hui',),
183 => array ( 0 => 'shen',),
184 => array ( 0 => 'gou',),
185 => array ( 0 => 'quan',),
186 => array ( 0 => 'zheng',),
187 => array ( 0 => 'hun',),
188 => array ( 0 => 'xu',),
189 => array ( 0 => 'qiao',),
190 => array ( 0 => 'gao',),
191 => array ( 0 => 'kuang',),
192 => array ( 0 => 'ei',1 => 'xi',),
193 => array ( 0 => 'zou',),
194 => array ( 0 => 'zhuo',),
195 => array ( 0 => 'wei',),
196 => array ( 0 => 'yu',),
197 => array ( 0 => 'shen',),
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200 => array ( 0 => 'chen',),
201 => array ( 0 => 'jian',),
202 => array ( 0 => 'xue',),
203 => array ( 0 => 'ye',),
204 => array ( 0 => 'e',),
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206 => array ( 0 => 'xuan',),
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208 => array ( 0 => 'di',),
209 => array ( 0 => 'zi',),
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211 => array ( 0 => 'mo',),
212 => array ( 0 => 'dang',),
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214 => array ( 0 => 'shi',),
215 => array ( 0 => 'mi',),
216 => array ( 0 => 'zhe',),
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218 => array ( 0 => 'zen',),
219 => array ( 0 => 'qiao',),
220 => array ( 0 => 'jue',),
221 => array ( 0 => 'yan',),
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223 => array ( 0 => 'chen',),
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234 => array ( 0 => 'xing',),
235 => array ( 0 => 'gai',),
236 => array ( 0 => 'zhi',),
237 => array ( 0 => 'nie',),
238 => array ( 0 => 'zou',),
239 => array ( 0 => 'chui',),
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242 => array ( 0 => 'huang',),
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244 => array ( 0 => 'xi',),
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250 => array ( 0 => 'fang',),
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252 => array ( 0 => 'pi',),
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254 => array ( 0 => 'ye',),
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85 => array ( 0 => 'chuo',),
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92 => array ( 0 => 'shu',),
93 => array ( 0 => 'jiao',),
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95 => array ( 0 => 'mou',),
96 => array ( 0 => 'jian',),
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100 => array ( 0 => 'jie',),
101 => array ( 0 => 'ji',),
102 => array ( 0 => 'nie',),
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104 => array ( 0 => 'nie',),
105 => array ( 0 => 'lun',),
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107 => array ( 0 => 'leng',),
108 => array ( 0 => 'wan',),
109 => array ( 0 => 'quan',),
110 => array ( 0 => 'zu',),
111 => array ( 0 => 'qie',),
112 => array ( 0 => 'qi',),
113 => array ( 0 => 'cu',),
114 => array ( 0 => 'zong',),
115 => array ( 0 => 'peng',),
116 => array ( 0 => 'zheng',),
117 => array ( 0 => 'yu',),
118 => array ( 0 => 'dun',),
119 => array ( 0 => 'chuan',),
120 => array ( 0 => 'yong',),
121 => array ( 0 => 'di',),
122 => array ( 0 => 'zhe',),
123 => array ( 0 => 'chen',),
124 => array ( 0 => 'gua',),
125 => array ( 0 => 'tang',),
126 => array ( 0 => 'fu',),
128 => array ( 0 => 'cu',),
129 => array ( 0 => 'nuo',),
130 => array ( 0 => 'cha',),
131 => array ( 0 => 'tui',),
132 => array ( 0 => 'qiang',),
133 => array ( 0 => 'nian',),
134 => array ( 0 => 'dian',),
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140 => array ( 0 => 'chong',),
141 => array ( 0 => 'lu',),
142 => array ( 0 => 'liao',),
143 => array ( 0 => 'tang',),
144 => array ( 0 => 'dai',),
145 => array ( 0 => 'su',),
146 => array ( 0 => 'xi',),
147 => array ( 0 => 'kui',),
148 => array ( 0 => 'ji',),
149 => array ( 0 => 'zhi',),
150 => array ( 0 => 'qiang',),
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152 => array ( 0 => 'pan',),
153 => array ( 0 => 'zong',),
154 => array ( 0 => 'lian',),
155 => array ( 0 => 'zao',),
156 => array ( 0 => 'nian',),
157 => array ( 0 => 'tui',),
158 => array ( 0 => 'ju',),
159 => array ( 0 => 'xian',),
160 => array ( 0 => 'zhong',),
161 => array ( 0 => 'di',),
162 => array ( 0 => 'tai',),
163 => array ( 0 => 'jia',),
164 => array ( 0 => 'zhi',),
165 => array ( 0 => 'zhu',),
166 => array ( 0 => 'kuai',),
167 => array ( 0 => 'qie',1 => 'xi',),
168 => array ( 0 => 'xun',1 => 'huan',),
169 => array ( 0 => 'yun',),
170 => array ( 0 => 'li',1 => 'zhi',),
171 => array ( 0 => 'ying',),
172 => array ( 0 => 'gao',),
173 => array ( 0 => 'xi',),
174 => array ( 0 => 'fu',),
175 => array ( 0 => 'pi',),
176 => array ( 0 => 'tan',),
177 => array ( 0 => 'yan',),
178 => array ( 0 => 'juan',),
179 => array ( 0 => 'yan',),
180 => array ( 0 => 'yin',),
181 => array ( 0 => 'zhang',),
182 => array ( 0 => 'po',),
183 => array ( 0 => 'shan',),
184 => array ( 0 => 'zou',),
185 => array ( 0 => 'ling',),
186 => array ( 0 => 'feng',),
187 => array ( 0 => 'chu',),
188 => array ( 0 => 'huan',),
189 => array ( 0 => 'mai',),
190 => array ( 0 => 'qu',),
191 => array ( 0 => 'shao',),
192 => array ( 0 => 'he',),
193 => array ( 0 => 'ge',1 => 'jia',),
194 => array ( 0 => 'meng',),
195 => array ( 0 => 'xu',),
196 => array ( 0 => 'xie',),
197 => array ( 0 => 'sou',),
198 => array ( 0 => 'xie',),
199 => array ( 0 => 'jue',),
200 => array ( 0 => 'yin',),
201 => array ( 0 => 'kan',1 => 'qian',),
202 => array ( 0 => 'dang',),
203 => array ( 0 => 'chang',),
204 => array ( 0 => 'si',1 => 'mou',),
205 => array ( 0 => 'bian',),
206 => array ( 0 => 'ben',),
207 => array ( 0 => 'qiu',),
208 => array ( 0 => 'ben',),
209 => array ( 0 => 'e',),
210 => array ( 0 => 'fa',),
211 => array ( 0 => 'shu',),
212 => array ( 0 => 'ji',),
213 => array ( 0 => 'yong',),
214 => array ( 0 => 'he',),
215 => array ( 0 => 'wei',1 => 'xu',),
216 => array ( 0 => 'wu',),
217 => array ( 0 => 'ge',),
218 => array ( 0 => 'zhen',),
219 => array ( 0 => 'kuang',),
220 => array ( 0 => 'pi',),
221 => array ( 0 => 'yi',),
222 => array ( 0 => 'li',),
223 => array ( 0 => 'qi',1 => 'yin',),
224 => array ( 0 => 'ban',),
225 => array ( 0 => 'gan',),
226 => array ( 0 => 'long',),
227 => array ( 0 => 'dian',),
228 => array ( 0 => 'lu',),
229 => array ( 0 => 'che',),
230 => array ( 0 => 'di',1 => 'chi',),
231 => array ( 0 => 'tuo',),
232 => array ( 0 => 'ni',),
233 => array ( 0 => 'mu',),
234 => array ( 0 => 'ao',),
235 => array ( 0 => 'ya',),
236 => array ( 0 => 'die',),
237 => array ( 0 => 'dong',1 => 'tong',),
238 => array ( 0 => 'kai',),
239 => array ( 0 => 'yan',1 => 'shan',),
240 => array ( 0 => 'shang',),
241 => array ( 0 => 'nao',),
242 => array ( 0 => 'gai',),
243 => array ( 0 => 'yin',),
244 => array ( 0 => 'cheng',),
245 => array ( 0 => 'shi',),
246 => array ( 0 => 'guo',),
247 => array ( 0 => 'xun',),
248 => array ( 0 => 'lie',),
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250 => array ( 0 => 'zhi',),
251 => array ( 0 => 'an',),
252 => array ( 0 => 'yi',),
253 => array ( 0 => 'pi',),
254 => array ( 0 => 'nian',),
),
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101 => array ( 0 => 'ji',),
102 => array ( 0 => 'cuan',),
103 => array ( 0 => 'zuan',),
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106 => array ( 0 => 'jue',),
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111 => array ( 0 => 'duo',),
112 => array ( 0 => 'gong',),
113 => array ( 0 => 'lang',),
114 => array ( 0 => 'hai la wu',),
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116 => array ( 0 => 'ai',),
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119 => array ( 0 => 'wu te su ke',),
120 => array ( 0 => 'lao',),
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125 => array ( 0 => 'lou',),
126 => array ( 0 => 'lao',),
128 => array ( 0 => 'duo',),
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132 => array ( 0 => 'dao',),
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141 => array ( 0 => 'dai',),
142 => array ( 0 => 'xuan',),
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150 => array ( 0 => 'dai',),
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152 => array ( 0 => 'na',),
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155 => array ( 0 => 'ruan',),
156 => array ( 0 => 'kuang',),
157 => array ( 0 => 'qian',),
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160 => array ( 0 => 'hu',),
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162 => array ( 0 => 'tu',),
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200 => array ( 0 => 'xian',),
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73 => array ( 0 => 'wu',),
74 => array ( 0 => 'hou',),
75 => array ( 0 => 'xie',),
76 => array ( 0 => 'e',),
77 => array ( 0 => 'xiu',),
78 => array ( 0 => 'weng',),
79 => array ( 0 => 'zha',),
80 => array ( 0 => 'nong',),
81 => array ( 0 => 'nang',),
82 => array ( 0 => 'qi',),
83 => array ( 0 => 'zhai',),
84 => array ( 0 => 'ji',),
85 => array ( 0 => 'zi',),
86 => array ( 0 => 'ji',),
87 => array ( 0 => 'ji',),
88 => array ( 0 => 'chi',),
89 => array ( 0 => 'chen',),
90 => array ( 0 => 'chen',),
91 => array ( 0 => 'he',),
92 => array ( 0 => 'ya',),
93 => array ( 0 => 'yin',),
94 => array ( 0 => 'xie',),
95 => array ( 0 => 'bao',),
96 => array ( 0 => 'ze',),
97 => array ( 0 => 'xie',),
98 => array ( 0 => 'zi',),
99 => array ( 0 => 'chi',),
100 => array ( 0 => 'yan',),
101 => array ( 0 => 'ju',),
102 => array ( 0 => 'tiao',),
103 => array ( 0 => 'ling',),
104 => array ( 0 => 'ling',),
105 => array ( 0 => 'chu',),
106 => array ( 0 => 'quan',),
107 => array ( 0 => 'xie',),
108 => array ( 0 => 'yin',),
109 => array ( 0 => 'nie',),
110 => array ( 0 => 'jiu',),
111 => array ( 0 => 'yao',),
112 => array ( 0 => 'chuo',),
113 => array ( 0 => 'yun',),
114 => array ( 0 => 'yu',),
115 => array ( 0 => 'chu',),
116 => array ( 0 => 'yi',),
117 => array ( 0 => 'ni',),
118 => array ( 0 => 'ze',),
119 => array ( 0 => 'zou',),
120 => array ( 0 => 'qu',),
121 => array ( 0 => 'yun',),
122 => array ( 0 => 'yan',),
123 => array ( 0 => 'yu',),
124 => array ( 0 => 'e',),
125 => array ( 0 => 'wo',),
126 => array ( 0 => 'yi',),
128 => array ( 0 => 'ci',),
129 => array ( 0 => 'zou',),
130 => array ( 0 => 'dian',),
131 => array ( 0 => 'chu',),
132 => array ( 0 => 'jin',),
133 => array ( 0 => 'ya',),
134 => array ( 0 => 'he',),
135 => array ( 0 => 'yin',1 => 'ken',),
136 => array ( 0 => 'long',),
137 => array ( 0 => 'pang',),
138 => array ( 0 => 'gong',1 => 'wo',),
139 => array ( 0 => 'pang',),
140 => array ( 0 => 'yan',),
141 => array ( 0 => 'long',),
142 => array ( 0 => 'long',),
143 => array ( 0 => 'gong',),
144 => array ( 0 => 'kan',),
145 => array ( 0 => 'da',),
146 => array ( 0 => 'ling',),
147 => array ( 0 => 'da',),
148 => array ( 0 => 'gui',1 => 'jun',2 => 'qiu',),
149 => array ( 0 => 'qiu',),
150 => array ( 0 => 'bie',),
151 => array ( 0 => 'chui',),
152 => array ( 0 => 'he',),
153 => array ( 0 => 'jiao',),
154 => array ( 0 => 'xie',),
),
);
$a = new StrToPinYin('UTF-8',false,false,2,'|');
$m_b = memory_get_usage();
print_r( $a->ToPinYin('我是丂丱'));
exit;
自己测试多种情况的结果
一组多音字的返回不为字符串的形式
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" alt="" />
header("Content-Type: text/html;charset=gb2312");
echo chr(129) . chr(64);
echo chr(129) . chr(79);
组成对应的汉子，php脚本文件需要是gbk的编码，得到
丂丱 这两个字，然后排列组合后的结果如下，自己打印排列自合的结果就能看到
aaarticlea/png;base64,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" alt="" />
PS：
preg_replace('~[^\p{Han}|a-zA-Z0-9]~u', '','鳄')，这里的正则可以先去除字符串里的非中文字符，不至于导致转换时碰到特殊字符报错，当然如果有特殊字符会变成*号。
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